AIN201 - From Transaction to Insight with SAP Solutions

72
PUBLIC From Transaction to Insight with SAP Solutions …or how the SAP Analytics Cloud and SAP BW/4HANA solutions complement SAP S/4HANA AIN201

Transcript of AIN201 - From Transaction to Insight with SAP Solutions

PUBLIC

From Transaction to Insight with SAP Solutionshellipor how the SAP Analytics Cloud and SAP BW4HANA solutions complement SAP S4HANA

AIN201

2PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Speakers

Las VegasSeptember 24ndash27 2019

Juumlrgen Butsmann

BarcelonaOctober 8-10 2019

Anirban Kundu

BangaloreNovember 13-15 2019

Anirban Kundu

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Download the app from

iPhone App Store or Google Play

Take the session survey

We want to hear from you

Complete the session evaluation for this session

AIN201 on the SAP TechEd mobile app

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The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer

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Context Analytics and the intelligent ERP

OverviewEmbedded analytics in SAP S4HANA

PositioningSAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

Integration

Your route to Analytics with SAP S4HANA

SummaryOutlook

Agenda

Context

Analytics and the intelligent ERP

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Be the experience company powered by the intelligent enterprise

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Business Technology Platform

Overview

embedded analytics in SAP S4HANA

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Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

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HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

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SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

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Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

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Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

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Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

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Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

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With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

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The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

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SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

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Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

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After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

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Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

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Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

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SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

2PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Speakers

Las VegasSeptember 24ndash27 2019

Juumlrgen Butsmann

BarcelonaOctober 8-10 2019

Anirban Kundu

BangaloreNovember 13-15 2019

Anirban Kundu

3PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Download the app from

iPhone App Store or Google Play

Take the session survey

We want to hear from you

Complete the session evaluation for this session

AIN201 on the SAP TechEd mobile app

4PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer

5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Context Analytics and the intelligent ERP

OverviewEmbedded analytics in SAP S4HANA

PositioningSAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

Integration

Your route to Analytics with SAP S4HANA

SummaryOutlook

Agenda

Context

Analytics and the intelligent ERP

7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Be the experience company powered by the intelligent enterprise

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

3PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Download the app from

iPhone App Store or Google Play

Take the session survey

We want to hear from you

Complete the session evaluation for this session

AIN201 on the SAP TechEd mobile app

4PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer

5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Context Analytics and the intelligent ERP

OverviewEmbedded analytics in SAP S4HANA

PositioningSAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

Integration

Your route to Analytics with SAP S4HANA

SummaryOutlook

Agenda

Context

Analytics and the intelligent ERP

7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Be the experience company powered by the intelligent enterprise

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

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httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

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Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

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within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

4PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The information in this presentation is confidential and proprietary to SAP and may not be disclosed without the permission of SAP

Except for your obligation to protect confidential information this presentation is not subject to your license agreement or any other service

or subscription agreement with SAP SAP has no obligation to pursue any course of business outlined in this presentation or any related

document or to develop or release any functionality mentioned therein

This presentation or any related document and SAPs strategy and possible future developments products and or platforms directions and

functionality are all subject to change and may be changed by SAP at any time for any reason without notice The information in this

presentation is not a commitment promise or legal obligation to deliver any material code or functionality This presentation is provided

without a warranty of any kind either express or implied including but not limited to the implied warranties of merchantability fitness for a

particular purpose or non-infringement This presentation is for informational purposes and may not be incorporated into a contract SAP

assumes no responsibility for errors or omissions in this presentation except if such damages were caused by SAPrsquos intentional or gross

negligence

All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from

expectations Readers are cautioned not to place undue reliance on these forward-looking statements which speak only as of their dates

and they should not be relied upon in making purchasing decisions

Disclaimer

5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Context Analytics and the intelligent ERP

OverviewEmbedded analytics in SAP S4HANA

PositioningSAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

Integration

Your route to Analytics with SAP S4HANA

SummaryOutlook

Agenda

Context

Analytics and the intelligent ERP

7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Be the experience company powered by the intelligent enterprise

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

5PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Context Analytics and the intelligent ERP

OverviewEmbedded analytics in SAP S4HANA

PositioningSAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

Integration

Your route to Analytics with SAP S4HANA

SummaryOutlook

Agenda

Context

Analytics and the intelligent ERP

7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Be the experience company powered by the intelligent enterprise

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

Context

Analytics and the intelligent ERP

7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Be the experience company powered by the intelligent enterprise

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

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Check out the latest blogs

See all SAP TechEd blog posts

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within the SAP Community

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More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

7PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Be the experience company powered by the intelligent enterprise

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

8PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Business Technology Platform

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

Overview

embedded analytics in SAP S4HANA

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

10PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Role-Based

Any device

Embedded Analytics

Cockpits with exception based worklists

Simple data structures

Speed on primary data

Rely on original data

Automation

Machine Learning

Prediction amp Simulation

Situation Handling Intelligent Robotic

Process Automation

Conversational UI etc

SAP S4HANA Digital Core - the Guiding Principles - Value

AIN202

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

11PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Modern

Architecture for

Instant Insight

Intuitive User ExperienceIntelligent ERP

Next Generation Business

Processes

Enablement of fact-driven process handling

bull Combined screens with transactional and

analytical information

bull Proper prioritization in transactional

process steps

bull Decision support where it is needed (inside

the transactional screen)

Easy modeling on simple data models

bull Real-time data availability

bull Easy drill down

bull Best possible performance

bull Custom data model extensions (in

SAP Fiori)

Integrate intelligent technologies in processes

bull Integration of Predictive and ML data inside

analytical data models

bull Embedded decision support

bull Allow process automation where needed

SAP S4HANA Digital Core - Examples embedded

analytics

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

12PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

What is SAP S4HANA embedded analytics

SAP S4HANA embedded analytics =

IntelligentSuite

SAP S4HANA

embedded

analytics

Analytics embedded in SAP ERP + SAP HANA + Intelligent Technologies

+ Content (Data Models and Applications) + Design Time Applications

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

13PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

HANA Platform

Customers and Partners can develop on released VDM views

VDM is the data model and source for all types of applications

Transactional

Analytical

External interfaces

VDM is a set of views on SAP S4HANA application data

Business-oriented

Understandable amp semantically rich

Reusable amp stable

Executed on SAP HANA

Implemented as ABAP CDS views (core dataservices)

Virtual Data Model (VDM) for Application Data in SAP S4HANA

R

SAP S4HANA Core Tables (ECC)

gt40 000 Tables (technical cryptic unrelated)

Virtual Data Model (CDS)

SalesOrder

SalesOrderItem

Customer

Material

RR

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

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Anirban KunduProduct Management SAP S4HANAakundusapcom

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copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

14PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Stack of VDM Views

Application Data (Tables)

VDM Basic Interface Views I_

VDM Composite Interface Views I_

VDM Consumption Views C_ VDM External API Views A_

Cryptic invisible

Basic VDM for reuse

Convenience and

special views for reuse

Purpose-built for apps

and APIs

All types of consumers

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

15PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Table

sB

asic

Co

mp

osite

Co

nsu

mp

tio

nExample Sales Order and Related Views

I_SalesOrderTP

I_Material

C_SalesOrderTP

I_SalesOrderItemI_SalesOrder

Exte

rna

l AP

I

C_SalesOrder

ItemQuery

I_SalesOrder

ItemCube

A_SalesOrder

Item

I_MaterialText

VEDAVBKD VBAPVBAK MAKTMARA

selection

association

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

16PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

Embedded in SAP S4HANA Technically and commercially separate Technically and commercially separate

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

17PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics ndash Overview of current Offering

per Type of User

SAP AnalyticsEnd-User Analyze the Data and act according to Insights

IT-User Provide the single source of truth in one semantic layer

Multi-

dimensional

reports

Key-User Enable the End-User

CDS View

maintenance

ABAP for Eclipse

Manage KPI and

Report Apps

SAP Analytics

Cloud

SAP

BusinessObjects

Enterprise

Examples Analysis for

Office Design Studio

Smart

Business

Drill Down

Query

Browser

Analytical List

Pages

Overview

Pages

Analytical

Fiori Apps

CDS Key User

Tooling

(eg Query Designer)

bull separate productsservices

bull direct access to S4HANA data

bull Dashboards and Digital Boardrooms developed by

S4HANA available for SAP Analytics Cloud

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

18PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Best Practices for SAPS4HANA Cloud ndash Embedded Analytic Content Scope 1909

Scope Item List

3FY Supplier Delivery Prediction 30K Predictive Analytics Model Training - Finance

1O0 Planning Apps for Sales 1QR Predictive Analytics for Contract Consumption in Procurement

2YJ Predictive Analytics Model Training ndash Sales 1JI Real-Time Reporting and Monitoring for Procurement

20N Predictive Analytics Model Training - Supply Chain 2QY SAP Fiori Analytical Apps for Asset Accounting in Finance

1BS SAP Fiori Analytical Apps for Sales 2QW Analytics for Production Unit PlanActual Production Cost

2QS Analytics for Sales Central Stock with Returns 2QU Purchase Order Visibility and Procurement Spend

BKN Order-to-Cash Performance Monitoring BGC SAP Fiori Analytical Apps for GL Accounting in Finance

2JB SAP Fiori Analytical Apps for Financial Accounting BGG SAP Fiori Analytical Apps for Inventory and Warehouse Management

2V2 Inbound Service for Predictive Analytics Integrator 1MN SAP Fiori Analytical Apps for Treasury and Risk Management

1KU Integration to SAP RealSpend and SAP Financial Statement Insights

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

1BS Fiori Analytical Apps for Sales and Distribution

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

20PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Sales QuotationsFlexible Analysis

Key Features

Analyze customer return related KPIs

Display the monthly rolling trend of the return rate For further

investigation drill down by a range of dimensions such as

sales organization sold-to party and return reason

Drill down to a list of customer return items with more details

With this app you can analyze sales quotations based on

flexible combinations of dimensions For example you can

get a monthly rolling trend of your quotations and see to what

extent they are being referenced by sales orders You can

quickly identify the critical quotations that are close to

expiring have expired or are rejected

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

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Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

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Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

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SAP TechEd blog posts

Engage with the SAP TechEd Community

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within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

3FY Supplier Delivery Prediction

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

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The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

22PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Predictive scenarioMonitor Purchase Order Items

The Machine Learning algorithms identify the

supplier delays based on the multiple situations

and predict the chances of delay

Need screenshot from Bob

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

DemoSAP S4HANA ndash GRIR Monitor

SAP S4HANA embedded analytics in practice

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

26PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

Positioning

SAP S4HANA embedded analytics

SAP Analytics Cloud and

SAP BW4HANA

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

29PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Additional functionality outside of SAP S4HANA

Embedded functionality in SAP S4HANA

Opportunities for extending SAP S4HANA embedded analytics

Planning

Engine

Predictive

Engine

Pixel-true

Visualization

Advanced

Dashboarding

Data

Warehousing

Excel in-app

Integration

Self-service

BI

Digital

Boardroomhellip

SAP S4HANA

embedded

analytics

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

30PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need an additional visualization toolldquo

Yesldquo

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

31PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

The added Value of SAP Analytics Cloud for SAP S4HANA

It is MORE It is EMBEDDED It GOES BEYOND

SAP Analytics Cloud

SAP S4HANA

SAP Analytics Cloud

SAP S4HANA SAP S4HANA

hellip than SAP S4HANA hellip into SAP S4HANA hellip SAP S4HANA

SAP Analytics Cloud

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

32PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

33PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud ndash Make Intelligent Decisions

All in one platform built for SaaS

bull Get everything you need from data

to decisions

bull Analyze plan and predict all in one

place

bull Scale to meet the needs of diverse

users and all types of decisions

(strategic operational and tactical)

Planning analysis and execution in one UX

bull Plan analyze and collaborate in one

UXsystem for instant insight to action

bull Increase engagement accountability and

accuracy with collaboration embedded in

context

bull Access to on-prem data amp apps without

having to replicate in the cloud

Augmented analytics for business users

bull Augment manual insights with embedded

intelligence that explains results

bull Ask questions in natural language to get the

answers you seek

bull Detect causes and take the next best action

using automated ML

bull Predict potential outcomes with the push of a

button

Complete - from data to

intelligenceContextual insight to

action

Confident decisions with

delivered AI-driven insights

AIN824

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

34PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud + SAP S4HANA = High-performing Analytics

Unique deep integration with

Live Connection to CDS Views

Business Content (models

stories dashboards) Fiori tile

integration Jump-to-transaction

BI Predictive amp Planning based

on SAP S4HANA business logic

in Real-Time ndash data changes

and modifications reflected

instantly

Leverage existing SAP S4HANA

Security amp Authorizations

Plug amp Play without any back-

end modifications

Enrich SAP S4HANA data

by adding your own

calculations (formulas

exception aggregations) and

delegate processing to

SAP S4HANA

Use the Analytics Catalog to bring all

your information together and accelerate

adoption of analytics in your business

user community

Explore SAP Digital

Boardroom for a real-time

view of your critical business

metrics in one place supporting

steering excellence of your

Intelligent Enterprise

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

35PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Intelligent Decisions

SAP Analytics Cloud

Smart Discovery

Search to Insight

Smart Insights

Time Series Forecasting

Smart Grouping

Smart Transformation

R-Visualizations

Only analytics solution to bring

together BI Planning and

Predictive in the cloud

Smart features deliver insights with

embedded machine learning ndash

no data scientist required

Get insights wherever you

are with analytics available

on any device

Why SAP Analytics Cloud It is MORE analytics for SAP S4HANA

Data to Intelligence

BusinessIntelligence

Enterprise Planning

Augmented Analytics

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

36PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

After selecting a measure or dimension Smart

Discovery automatically generates a story with

up to 4 pages

bull Overview data distribution summary of

trends and patterns detected

bull Key Influencers top correlated variables

insight quality influence visualizations (only

created if a pattern is discovered)

bull Unexpected Values records identified as

outliers (only if a measure is selected)

bull Simulation interactive what-if simulation

(only if a measure is selected)

Smart DiscoveryAutomated Insights

Overview Key Influencers

Outliers Simulation

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

37PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Transform the way you analyze and

plan with ML-driven predictions

Enable business analysts to build

trusted and actionable predictions

Create recommendations for the

next best course of action

See your business in high resolution

with forecasts for each of your

customers products and suppliers

Anticipate the FutureSmart Predict

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

39PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

With SAP S4HANA and SAP S4HANA embedded analytics

do I still need my BWldquo

Yesldquo

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

40PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA complements SAP S4HANA

SAP S4HANA is not an EDW

SAP S4HANA is the next generation intelligent ERP and part of an Intelligent Enterprise - sized tuned and maintained for

optimal performance as transactional system

A modern simplified architecture the new user experience (SAP Fiori) and integrated intelligent technologies such as

Machine Learning allow for new business processes and even automation

SAP S4HANA embedded analytics focuses on fact-driven process handling and embedded decision support inside

of transactions - embedded BW only for support of transactional workflows

SAP BW4HANA is an EDW

Allows harmonization of all enterprise data (ERP + non-SAP governance corporate memory big data hellip)

Delivers complete data warehouse tools (rich integrated toolset for data warehousing)

Provides deep integration with SAP Analytics and SAP data management (SAP Data Hub SAP HANA SQL DW )

Why is SAP BW4HANA the perfect EDW for SAP S4HANA

Extends seamlessly the business case of SAP S4HANA including the integration with SAP Data Hub for Big Data and

Internet of Things (IoT) use cases

Availability of specific business content for SAP S4HANA

Allows best integration capabilities based on common architecture and terminology (eg analytical engine currencies

user maintenance ABAP transports governance hellip)

SAP

S4HANA

SAP BW4HANA

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

41PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Modern Architecture for

Instant Insight

Intuitive User Experience

Intelligent ERP

Next Generation Business Processes

Simplify the provisioning of

timely business insights

Capitalize on the full value of all

your data

Innovate with one trusted source for all

insights

Complete - From data to

intelligence everything you need

Contextual -

Insight to action where you work

Confident -

Faster more confident decisions with

delivered AI-driven insights

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

43PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Simplify the

provisioning of timely

business insights

Capitalize on the full

value of all your data

Innovate with one trusted

source for all insights

Leverages SAP HANA EIM to provide new

data provisioning opportunities like virtual data

access real-time replication or optimized data

load

Dedicated big data connector to leverage Big

Data landscapes for data onboarding and

ingestion for various types of data and files

Deep integration with SAP Data Hub including

SAP Vora as orchestration and refinery

application to address end to end processes

with SAP HANA and SAP BW4HANA

Impactful reduction of modeling and

source objects choice of field- or

InfoObject-based modeling no

data replication between layers needed

Data tiering for allocating best storage

for hot warm cold data by partition

Data processing pushed to SAP HANA

from the application server

Deploy on HEC AWS Azure and GCP

Unique native data access for real-time

analytics without replication into the

cloud one platform for enterprise

planning amp consolidation Predictive

Analytics

Extend managed DW and native SQL

approach for the full power of HANA with

mixed scenario and analytical apps

Establish the corporate memory for the

Intelligent Enterprise by leveraging the

Cloud Platform Integration API framework

SAP BW4HANA - the Guiding Principles

CPIBW4 Write

Interface

AIN832

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

44PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA Business Content

Quality

Management

Master Data

Business Area

Sales amp

Distribution

Sales

Overview

Conditions

Delivery

Service

Supply Chain Management

Procurement

Invoice

Verification

Inventory

Production

Planning and

Controlling

Extended

Warehouse

Management

Master Data

Governance

Finance

Accounts

Receivable

Accounts

Payable

Fixed Asset

Accounting

General

Ledger

incl

Financial

Statement

Controlling

Cost Center

Accounting

Overhead

Cost Orders

Enterprise

Controlling

Contract

Accounts

Asset

Management

Quality

Management

Overhead

Projects

incl

Networks

Plant

Maintenance

Customer

Service

Product Cost

Controlling5

Real Estate

Industries Utilities

Master DataSales

Statistics

Energy Data

Management

SF HCM

Workforce

Management

bull Supports SAP S4HANA and

SAP ECC systems

bull Uses new SAP BW4HANA

features

bull Follows the LSA++ architecture

bull Delivered content offers more

flexibility in data acquisition and

reporting

bull Provides higher level of detail

(line items hellip)

bull Quarterly delivery pace

SAP Online Documentation 20

Collective Note 20 - 2785525

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

Integration

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

46PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics with SAP S4HANA ndash high level architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analyticsaccess SAP S4HANA data directly via

Transient analytical queries

SAP S4HANA

SAP BW4HANA(for seamlessly extending transactions with data

warehousing workflows)

Database tables on SAP HANA

Intelligent Technologies

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

47PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Live Data Access ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

Reverse Proxy

CORS

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

48PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud Data Import ndash High Level Architecture

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of

SAP S4HANA extensible by the customer

Odata servicesTransient analytical

queries

SAP Analytics Cloud can access SAP S4HANA data directly via the

available Transient analytical queries

SAP S4HANA

SAP

Analytics

Cloud

Agent

SAP HANA

Cloud

Connector

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

49PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Open SAP Analytics Cloud Stories from Fiori

Launchpad

Easily create custom Fiori tiles to launch a Story

using OAUTH-enabled Story Catalog Service

Integrate available pre-defined SAP Analytics

Cloud Best Practices content with configured

Fiori tiles

Integration with SAP Fiori Launchpad

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

50PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

51PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud is embedded in SAP S4HANA

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

52PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA Cloud Embedded Analytics ndash high level architecture with 1911

Persistency

Modelling

Visualization

Access

Database tables on SAP HANA

ABAP-CDS-Models(for analytical and transactional purposes)

SAP Fiori UIanalytical apps reports KPIshellip delivered as part of SAP

S4HANA extensible by the customer

Odata services Transient analytical queries

SAP Analytics Products

AfO SAC (enterprise) hellip

SAP S4HANA CLOUD

SAP Analytics Cloud (OEM)

Database tables on

SAP HANA

SAP BW4HANA(for seamlessly extending

transactions with data

warehousing workflows)

SAP ANALYTICS

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

53PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

bull Prebuilt content jumpstarts

analytic and planning efforts

bull Real-time Analytics

on SAP S4HANA Data

bull Predictive analytics and

simulation capabilities

Q2 2019 Today Q4 2019 2020

bull Unified analytics experience via

- Multidimensional reporting

- Dashboarding

- Intent-based navigation between

SAP Analytics Cloud stories and

SAP S4HANA Fiori apps

bull No data replication between SAP

Analytics Cloud and SAP S4HANA for

planning and budgeting processes

Customer Value of Integration between SAP S4HANA and SAP Analytics Cloud

Get real-time business insights

and achieve accelerated more

accurate decisions

Enabled by

Automate your business improve

your agility and efficiency

Enabled by

bull Deeper integration with SAP

S4HANA

bull Predictive accounting

bull Context-sensitive insights

bull New level of forecast accuracy

Accelerate time-to-value and

simplify change management

Enabled by Enabled by

Improve data privacy and lower

total cost of ownership of your

enterprise planning solution

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

54PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics

Live Connectivity

bull Available for cloud and on-premise data

sources

bull No replication of data in SAP Analytics

Cloud

bull Use existing data models for analysis

bull Update data visualizations and stories

with new data in real-time

Data Import Connectivity

bull Available for cloud and on-premise data

sources

bull Replication within SAP Analytics Cloud

bull New data models created through the

SAP Analytics Cloud Modeler

bull Data visualizations and stories updated

when data is refreshed

Analytics

Live Connectivity

bull Browser-based data blending SAP HANA live

data models with imported data models

(no IT setup)

bull Support for dynamic HANA Input parameters

(via expressions)

Data Import Connectivity

bull Combine multiple datasets into a single

model with composite join keys

Recent Out now Q3 2019 Q4 2019 2020

Analytics

Live Connectivity

bull Enhanced support for dynamic HANA

Input parameters (via tablesprocedures)

Data Import Connectivity

bull Connect to 3rd party CRM and Cloud Storage

bull New data wrangling experience with instant

navigation to Explorer or Story layout

bull Increase data ingestion thresholds

Analytics

Live Data Import Connectivity

bull One connection experience for both data

import and live models

bull Expanded breadth of supported data sources

bull Data Blending between live and imported data

bull End-to-end transparency

bull Cross-product reporting for all intelligent

enterprise suite components eg Hire-to-retire

Integration roadmap between SAP S4HANA and SAP Analytics Cloud

Planning

bull SAP HANA data lsquouploadedrsquo (replicated)

to SAP Analytics Cloud

bull SAP Analytics Cloud stores model and data

bull Security can be added to the model within

SAP Analytics Cloud

Planning

bull Data Actions ndash cross model copy

Planning

bull Data Entry ndash enhanced rolling forecast

layout Smart Insights on table

bull Data Actions ndash prompting and variable

support

Planning

Replication-Free Planning

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

57PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Integration with SAP Business Warehouse applications

bull For limitations on S-API DataSources (Extractors) in S4HANA see SAP Note 2500202

bull How to use ABAP CDS for Data Provisioning in BW

bull For release of extractors for ODP see SAP Note 2232584 lsquoRelease SAP Extractors for

Operational Data Provisioningrsquo (gt 95 are released)

CDS-based Extraction to SAP Business Warehouse applications

SAP BW4HANA

SAP BWSAP S4HANA

S-API DataSources

ABAP CDS Views

SAP BW4HANA

SAP BWSAP S4HANA

ABAP CDS Views

CDS-based Data Federation with SAP Business Warehouse applications

Direct access to SQL views (generated by ABAP CDS) not recommended See note 2511210 for further details

httpsblogssapcom20190606discover-cds-

view-based-extractors-from-sap-s4hana-cloud

Finding the CDS extraction views(for on-premise include views whcih are of

status bdquoNOT_RELEASEDldquo)

On-premise only

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

58PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Scope Item ndash 28Y SAP BW4HANA Integration Configuration with SAP

S4HANA Cloud

BW 4HANASAP S4HANA

or SAP ERP

Use case ndash BW4HANA reporting with SAP S4HANA Cloud

Description

- Leverage this use case when BW4HANA needs

to be single source of truth for Consolidated

Reporting across all systems in the landscape

- Integration scope item provide steps to configure

the data replication from SAP S4HANA Cloud to

BW4HANA using whitelisted data sources on

SAP S4HANA Cloud

- Supports change pointer

- Supports both delta and full load

- Staging and transformation needs to be handled

as custom development on BW4HANA side

(HQ)

SAP S4HANA Cloud

SAP S4HANA Cloud Data

retraction to BW4HANA using

White Listed Data sources in SAP

S4HANA Cloud

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

Your route to

Analytics with SAP S4HANA

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

60PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Checktest existing and used BW setup and extractors

What is still working (functional fit andor SAP supported content)

Which frontends have been created using the BEx

Do housekeeping What is still necessary

Establish the status quo ofBIAnalytics

Have data sources changed

Does Big Data play a role

Do housekeeping What is still necessary

Separate analytical requirements (along the business processes) between the operational system

the BIAnalytics layer and the EDW

Explore how a target architecture would look like ideally using SAP S4HANA SAP BW4HANA and SAP Analytics BIPAPlanning

For pure operational analytical requirements

Check existing content applications and capabilities in

SAP S4HANA embedded analytics See what you can do

out-of-the-box

For all analytical requirements check Business Content in SAP Analytics and SAP BW4HANA

Plan detailed steps to implement all remaining analytical

requirements (eg by extending SAP S4HANA or by exceptional

usage of SAP Analytics Cloud and SAP BW4HANA for

operational reporting) - your choices need to be based on

project realities (eg individual preferences strategy efforts

available functionality)

Planning the migration from SAP ECC with SAP BW

to SAP S4HANA with SAP BW4HANA

Prerequisite SAP BW4HANA Sandbox existing

Check

SAP BW

Status Quo

What to do

where

Check SAP

S4HANA

Rebuild

and

Extend

Check

Status quo

BIAnalytics

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

62PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA embedded analytics

bull Operational data

bull Real-time data access

bull Transactional decision support

bull KPI-driven process handling

SAP BW4HANA ndash Core EDW functions

bull Data replication (for Snapshots Performance enhancements)

bull Enterprise-wide data harmonization

bull Data governance

bull Data federationmashing (EDW)

bull LSA modeling

bull SAP and non-SAP data

bull Planning

bull Archiving (for delta comparison)

Now what to do where

Exceptions (related to visualization preferences cost time hellip)

SAP Analytics Cloud

bull Best visualization

bull Focus on cloud-based source

systems (eg SAP S4HANA

Cloud MTE)

bull Data federationmashing

(without EDW harmonization)

bull SAP and non-SAP data

bull Planning

bull Self Service BI

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

Summary Outlook

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

64PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Demo (Full Integration)

httpswwwyoutubeco

mwatchv=nuc29Zy4U

6Yampfeature=youtube

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

65PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Analytics in the context of SAP S4HANA

The complete portfolio

IntelligentSuite

SAP S4HANA

SAP BW4HANA SAP Analytics

Big data

SAP SQL Data

Warehousing

with SAP HANA 20

SAP Data Hub

CAA262

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

66PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Model Linking through Dimensions - SAP Data Warehouse Cloud

Identify opportunities faster with pre-built

templates and machine learning

Keeps business users and IT in sync

avoiding data silorsquos and unexpected costs

In-memory data management including

data privacy and anonymization

httpswwwsapcomproductsdata-warehouse-cloudhtml

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us

67PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

Allows cross system view on all data

Examples

Total Spend Management

Bring together spends data from

Ariba Fieldglass and Concur

Campaign Effectiveness ndash

Campaigns from Marketing Cloud and Opportunities from

SAP C4HANA (Sales Cloud)

SAP Analytics Cloud

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

68PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

More examples

Profitability per Employee - Compute

Profitability with Headcount from

SucessFactors and Financial KPIs

from SAP S4HANA Effect of Marketing Spends on Net

Promoter Score - Analyse how spends

on Spotlight Accounts from Marketing

Cloud impact Net Promoter Score on

your brand with surveys from Qualtrics

SAP Analytics CloudSAP Analytics Cloud

SAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Big data

Non-SAP Systems

Intelligent Suite

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

69PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Big data

Non-SAP Systems

Data Warehouse Layer

EDW

BI Visualization Layer

Data Warehouse Layer for Enterprise-wide

data harmonization to establish the

Corporate Memory

Semantic BI Data Layer for agile

self-service mashups and blending

Allows cross system view on all data

X OSAP Analytics Cloud

SAP Analytics CloudSAP HANA Cloud Services

CustomerExperience

Manufacturingamp Supply Chain

Digital Core PeopleEngagement

Network amp SpendManagement

Intelligent Suite

SAP Data Hub

Why SAP Analytics Cloud It goes beyond data of SAP S4HANA

SAP Data Warehouse Cloud

70PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Data WarehousingStatement of direction

Establish SAP Data Warehousing as the leading data

warehousing platform in order to meet future demands

Cloud- on-premises and hybrid deployments

Logical Data Warehouse for dynamically changing system

landscapes

Integration of any data types and Big Data technologies

Scale out to high volumes and data lakes

Industry data models for rapid implementation

HYBRID CLOUDON-PREMISES

SAP Data Warehouse Cloud

SAP Data Warehousing

SAP BW4HANASAP SQL

Data Warehousing

SAP HANA

71PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP S4HANA

Blogs

What is SAP S4HANA embedded analytics How does it add value httpbitly2cPkeqF

How do I get started with embedded analyticshttpscnsapcomcommunitys4hanablog20160527getting-started-with-s4-hana-embedded-analytics

How does the SAP S4HANA embedded analytics architecture look like httpscnsapcomcommunitys4hanablog20160927journey-of-datafrom-tables-to-tiles--a-sneak-peek-into-the-s4-hana-embedded-analytics-architecture

SAP S4HANA Extensibilityhttpsblogssapcom20170301scn-s4hana-extensibility-scenario-diagrams

Embedding Predictive Analytics into SAP S4HANA Cloudhttpsblogssapcom20170516embedding-predictive-analytics-into-sap-s4hana

SAP S4HANA and SAP BW4HANA positioninghttpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

openSAP

Extending SAP S4HANA Cloud and SAP S4HANA

Youtube

SAP S4HANA Cloud

Analysis Path Framework

Fiori Apps Library

httpsfioriappslibraryhanaondemandcomsapfixexternalViewer

Documentation

SAP S4HANA

SAP S4HANA Cloud

72PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Purchase the print or e-book at sap-presscom4690

Configure SAP S4HANA embedded analytics for your landscape

Use embedded analytics for operational reporting and process analytics

Integrate with other SAP tools for data warehousing business intelligence and predictive analytics

Customize and use SAP S4HANA embedded

analytics

SAP S4HANA Embedded Analytics The Comprehensive Guide

Written by Juumlrgen Butsmann Thomas Fleckenstein Anirban Kundu

430 pages | 092018 | E-book $6999 | Print $7995 | Bundle $8999

73PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Seit 2642019

httpswwwrheinwerk-verlagdesap-s4hana-embedded-analytics_4853

httpswwwamazondeSAP-4HANA-Embedded-Analytics-

Operativesdp3836268965ref=sr_1_2__mk_de_DE=C385MC385

C5BDC395C391ampkeywords=butsmannampqid=1556311051amps=gat

ewayampsr=8-2

74PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP BW4HANA

Community Product Pagehttpssapcombw4hana10

Home Pagehttpssapcombw4hana

Documentationhttpshelpsapcombw4hana10

Product Roadmaphttpssapcomroadmaps

Training amp Certificationhttpstrainingsapcom

Get Started

Free Learning openSAP Free Trial

Get Help

FAQ QampA Community Wiki Support Services Availability

Read amp Learn More

SAP Blogs Community Blogs Learning Journey

Transition from SAP BW

Blog SAP Activate Roadmap SAP Readiness Check

Related Solutions

SAP HANA SAP Data Hub SAP Analytics Cloud

Share amp Follow

BW4HANA

TheFutureofDW

Watch

Demos amp Tutorials

YouTube Channel

SAP HANA Academy

75PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

SAP Analytics Cloud

httpswwwsapanalyticscloud

76PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access SAP TechEd Learning Journeys

Discover related learning content

Watch webinars of SAP TechEd lectures

Learn about SAPrsquos latest innovations with openSAP

Collaborate with SAP experts

Self-test your knowledge

Earn a SAP TechEd knowledge badge

Continue your SAP TechEd 2019 Learning Experience

Join the digital SAP TechEd Learning Room 2019 in SAP Learning Hub

77PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

Access replays

Keynotes

Live interviews

Select lecture sessions

httpsaptechedcomonline

Continue the conversation

Read and reply to blog posts

Ask questions

Join discussions

sapcomcommunity

Check out the latest blogs

See all SAP TechEd blog posts

Learn from peers and experts

SAP TechEd blog posts

Engage with the SAP TechEd Community

Access replays and continue your SAP TechEd discussion after the event

within the SAP Community

78PUBLICcopy 2019 SAP SE or an SAP affiliate company All rights reserved ǀ

More information

Related SAP TechEd Learning Journeys

AIN1 ndash Make fast and confident decisions with SAP Analytics Solutions

AIN2 ndash Transform your business processes with intelligent technologies

CAA1 ndash Extend SAP Solutions to support your intelligent enterprise

Related SAP TechEd sessions

AIN202 ndash Overview of SAP S4HANAndashBased Machine Learning Scenarios

CAA262 ndash Hands-on How to Extend SAP S4HANA Embedded Analytics

AIN824 ndash SAP Analytics Cloud Road Map and Strategy

AIN376 ndash Hands-On SAP Analytics Cloud SAP BW4HANA and SAP Data Warehouse Cloud

AIN832 ndash SAP BW4HANA Road Map

Public SAP Web sites

SAP Community wwwsapcomcommunity

SAP products wwwsapcomproducts

SAP Blog httpsblogssapcom20170815sap-s4hana-and-sap-bw4hana-what-to-do-where

Feedback Contact for further topic inquiries

Please complete your session evaluation

for AIN201

Anirban KunduProduct Management SAP S4HANAakundusapcom

Thanks for attending this session

copy 2019 SAP SE or an SAP affiliate company All rights reserved

No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of

SAP SE or an SAP affiliate company

The information contained herein may be changed without prior notice Some software products marketed by SAP SE and its

distributors contain proprietary software components of other software vendors National product specifications may vary

These materials are provided by SAP SE or an SAP affiliate company for informational purposes only without representation or

warranty of any kind and SAP or its affiliated companies shall not be liable for errors or omissions with respect to the materials

The only warranties for SAP or SAP affiliate company products and services are those that are set forth in the express warranty

statements accompanying such products and services if any Nothing herein should be construed as constituting an additional

warranty

In particular SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or

any related presentation or to develop or release any functionality mentioned therein This document or any related presentation

and SAP SErsquos or its affiliated companiesrsquo strategy and possible future developments products andor platforms directions and

functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason

without notice The information in this document is not a commitment promise or legal obligation to deliver any material code or

functionality All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ

materially from expectations Readers are cautioned not to place undue reliance on these forward-looking statements and they

should not be relied upon in making purchasing decisions

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered

trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries All other product and service names

mentioned are the trademarks of their respective companies

See wwwsapcomcopyright for additional trademark information and notices

wwwsapcomcontactsap

Follow us