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L'oceano dei dati aziendali, immergersi per scoprire i mondi sommersi: DataScience e Data Management

September 22, 2020



Today's Speakers

Chiara De Maria SAP Services

Business

Development Consultant

Fabio Fontana SAP Services

Principal Business Enterprise

Architect



Let's Build the Intelligent Enterprise Together!

Gennaio

Customer

Experience

Febbraio

S/4

Marzo

Manufacturing &

Supply Chain

Aprile

Dati

Maggio Giugno Luglio Settembre Ottobre Novembre Dicembre

Intelligent

Technologies

Appl. Devl. &

integration

Customer

Experience

Manufacturing &

Supply Chain

S/4 Dati Appl. Devl. &

integration

Settembre: il mese dei dati

Il valore dei dati

nell'Intelligent Enterprise

8 settembre

Come costruire un Enteprise Data

Warehouse: il punto di vista SAP

Digital Business Service

15 settembre

SAC e BI 4.3:

un'unione vincente

17 settembre

L'oceano dei dati aziendali, immergersi

per scoprire i mondi sommersi: Data

Science e Data Management

22 settembre

Il valore dell'innovazione

portato da BW/4 2.0

24 settembre

Ottobre: il mese della Customer Experience

NEW BRIM

Nuovi modelli di business abilitati

da SAP BRIM: verso la

“subscription economy”

22 ottobre

Il commerce evoluto: benvenuti

nell’economia dell’esperienza e

dell’omnicanalità

15 ottobre

Experience Management: come

approcciare in maniera efficiente un

percorso di trasformazione

1 ottobre

Innovate and accelerate time to value

with a subscription based SAP

Commerce Cloud implementation

8 ottobre



Il Gruppo Jam dedicato ai clienti di SAP Services Italia

Il sito SAP Jam dedicato ai clienti italiani di SAP Services

è il punto di partenza per

✓ Consultare il materiale condiviso durante i nostri eventi

✓ Esplorare ulteriore materiale che riteniamo di tuo interesse

Calendario Enable the intelligent Enterprise with SAP Services

Il calendario Enable the Intelligent Enterprise è il punto di partenza per:

✓ Consultare il materiale condiviso durante i nostri webinar

✓ Rivedere Ie registrazioni di tutti i webinar tenuti fino ad oggi.

https://jam4.sapjam.com/groups/nA8T7UIpk7YdGoDJH39Oqd/overview_page/C7dpOnRY2vHGlWtVePVgEx

https://webinars.sap.com/it/sap-dbs-italy-for-intelligent-enterprise/it/agendas2020


Enable the Intelligent Enterprise with SAP DBS

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INTELLIGENT ENTERPRISE INNOVATION DAY

#VIRTUAL_EVENT

SUPPLY CHAIN, MANUFACTURING & MAINTENANCE

INNOVATION DAY#VIRTUAL_EVENT

CUSTOMER EXPERIENCE

INNOVATION DAY

71 participants

67 participants

VIRTUAL DATAINNOVATION TOUR

#VIRTUAL_EVENT

51 participants

INTELLIGENTSPEND MANAGEMENT

INNOVATION WORKSHOP

November 11th

“Together, we make it happen”

#VIRTUAL_EVENT

34 participants



SAPNOW 2020 – sapnow.it

https://events.sap.com/it/sap-now-milano/it/home



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The Intelligent Enterprise: Run at your Best



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• Data Science e Data Management

at Enterprise Level

• SAP Data Intelligence

• Use cases and SAP Services

Agenda



10PUBLIC Salmon Image Source: Wikipedia - https://en.wikipedia.org/wiki/Salmon

How are you feeling

today ?



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What is Data Science?



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What is Data Science?

Statistics

Data Analysis

Machine

Learning

Find Patterns

Enhance Data

Predict Data

Trends

Make Decisions

Apply AI



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Human

DrivenAugmented

Auto Machine

Learning

Descriptive

Diagnostic

Predictive

Prescriptive

Adding Machine Learning and Artificial Intelligence …

… changes Analytics

from:To:



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Use Cases

Sales

Enablement

Demand

Generation

Customer

Support

Customer discovery &

insights

Marketing execution

Drive personalization

Drive conversion

Automated triage and

diagnostics using images

and document processing

Life-time value prediction

and churn analysis

Root cause analysis

Marketing apps



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Predictive quality(Compliance analysis and tolerance trend

prediction)

Predictive maintenance

Anomaly detection

Anomaly prediction

Production simulation

What-if analysis

DURING PROCESS BEFORE & AFTER

Predictive Quality



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What is the status of Data-Driven Innovation projects in the enterprise world?

Fail to make it to

production1

85% 50%Struggle with the

Complexity of AI2

74%Are limited by Data Complexity

and Sprawl3

1 https://www.gartner.com/doc/3834463/pitfalls-avoid-planning-data-science2 Powering the Intelligent Enterprise with AI –Forrester 20183 Data2020: State of Big Data Study –Regina Corso Consulting 2017

https://www.gartner.com/doc/3834463/pitfalls-avoid-planning-data-science



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Challenges in Today's Enterprise LandscapesThe result is landscape complexity

Customer

Experience

Manufacturing

& Supply Chain

Digital

Core

People

Engagement

Network & Spend

Management

Applications

Data Marts

Third-Party Data

Data

Warehouses

Cloud

Datastores

Databases

Data

profiling

Data

cataloging

Data

masking

Speech

recognitionETL

Video

processing

Geospatial

processing

Data

cleansing

ELTTime

series

Text

analytics

Machine

learning

Data

quality

Data

ingestion

Data

replication

Event

Stream

processing

Streaming

analytics

Graph

processingImage

processing

Metadata

management



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An example standard workflow for Machine Learning

Data Merging

Data Extraction

Data Preprocessing

Data Preprocessing

Data Upload

Model Design

Model Training

Model Validationbad

good

Deploy Scenario

Integrate Scenario

Operationalize Lifecycle

Maintain Lifecycle

Data Extraction



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Challenges of Enterprise Data Management

ImpactsFactors

Integration &

Interfaces

Data Silos

Data Volume,

Relevance & Struct.

Cloud / On Premise

Availability

Knowledge & Skills

Governance &

Compliance

Security & Privacy

Work Areas

Process Orchestration

Monitoring

Metadata Management

& Business Glossary

Analytics Platform &

Architecture

Data Management

Platform

Training

Your application is

not compliant!

I don’t trust the data, I’ll keep using

my Excel…

I cannot take decisions based on

this data!

And why does every new request

takes so long to

implement?!

I have no idea how to

work with

this tool…

Here is my python code!

This Python does not

comply to

company standards!



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Enterprise Data Management, Data Science & AI

Manage

the Data

Manage

the Delivery

and

Governance

Manage

the Development



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Intelligent Information Management

• Collaborative

Tools Deliver Trusted Data

• Modular Data

Pipelines• Architecture Across

Disparate Data Sources• Govern and Manage

Metadata

1 Data Ops 2 Data Catalog 3 Data Fabric 4 Data Orchestration

C O L L A B O R A T I O N O R C H E S T R A T I O N



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Different Ways of Managing Data for Analytics

Data Lake / Hybrid

Architecture

Data Streaming

Batch Loading

Virtualization

Batch LoadingEnterprise & Logical

Data Warehouse

Streaming

Analytics

Real-time

Reporting Embedded Analytics

• SAP HANA

SAP BW/4HANA

• SAP Datawarehouse

Cloud

• SAP Relational Data

Lake / SAP IQ

• SAP Analytics

Cloud

• SAP BI Platform

4.3

• Analysis for

Office

SAP Data

Intelligence



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Why a Data Management Platform?

SAP Data

Intelligence



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SAP Data Intelligence enables innovation to become REAL and deliver VALUE

Integrate any

data

Reuse any

engine

Democratize

intelligence

Ensure Data

Quality

Any cloud or

on-prem

Solve the data deluge, and

integrate any kind of data.

Orchestrate any SAP or

non-SAP data processing

engine.

Make ML easier, scale it,

operationalize it, and

govern model lifecycle.

Discover, prepare and

govern all your data assets

in the same tool.

Deploy on any mix of

hyperscalers, hybrid on on-

prem.



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Data Pipelining

Model Lifecycle Management

Centralized Metadata Governance

SAP Data Intelligence –Enterprise AI meets Intelligent Information Management

Flexible pipelines spanning structured / unstructured /

streaming, batch / (near-)real-time, OLTP and OLAP,

across any cloud and on-prem deployment.

Metadata crawling, browsing and profiling; data lineage,

auditing and data anonymization / masking.

[…], on

Data discovery and preparation, notebooks,

deployment, (re)training, serving and monitoring.

Distributed and Heterogeneous Data Processing



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SAP Data Intelligence

SAP Applications Distributed & External

Data Systems


SAP HANA

Integration

Cloud Data

Integration

ABAP

Integration

WorkflowsBW Process

Chains

Data Services

JobsHANA

Flowgraphs

SAP

NetWeaver + DMIS Addon

BW

Integration

SAC Push API

SAP BWSAP BW/4 HANA

SAP Analytics Cloud

SAP HANA®

(on-premise, cloud, multi cloud)

Standard

Connectors(open & native

protocols)

Cloud Storages

Hadoop / HDFS

Databases

3rd Party Applications

Streaming (e.g. IoT)

Public Clouds

SCI for process

integration

SAP Open

Connectors

SAP API

Business Hub

REST APIs

SAP Cloud

Platform

Connectors

3rd Party

Connectors

Data Pipelining & ProcessingData ingestion / Data Processing / Data Enrichment

Data Orchestration & MonitoringConnection Management / Workflows / Scheduling

Data GovernanceData Discovery / Data Profiling / Metadata Cataloging…

SAP C/4HANA

Intelligent ProcessingExploration / Model Design / ML Deployment

SAP S/4HANA® CLOUD

SAP S/4HANA®



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Data Science Workflow Aided by SAP Data Intelligence

Data from Multiple Sources

(Structured and/or

Unstructured)

Metadata, Exploration, Profiling and

Indexing

Data Integration, Wrangling

and Storage

Data Preprocessing

Model Training

Model Evaluation

Deployment

Onetime/Periodic Inference

(mostly on a structured dataset)

REST API

Realtime Inference

(within an app)

Further Analysis

(enriched data)

Iteration

REALIZE SCALE & DEPLOYMONITOR &

ADJUSTEVALUATEPREPARE



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Data from Multiple Sources

Access any data source:

cloud, on premise, IoT, SAP,

or non-SAP. Automatically

index and crawl any available

data asset to find it with ease



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Metadata, Exploration, Profiling and

Indexing

Enrich data assets with

metadata information so

that everyone in your

organization can find what

they need and minimize

duplication of data

wrangling tasks. Build the

Business Glossary

Data Integration, Wrangling

and Storage



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SAP Data IntelligenceA centralized Data Catalog for your enterprise data governance

• Data discovery, browsing and profiling

• Data quality rules and scorecards

• Data lineage

• Self-service Data Preparation



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One single tool for

experimentation

and productization

of ML artifacts.

Data Preprocessing

Model Training

Model Evaluation

Iteration

Deployment

Onetime/Periodic Inference

REST API

Realtime Inference

Utilize a rich set of

operators to create,

automate and orchestrate

workflows.

BYOMImage Speech Text

Assisted ML



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SAP Data IntelligenceStreamline end-to-end lifecycle management of ML models

• Manage ML datasets

• Manage ML design and experimentation

with integrated Jupyter notebook

• Turn notebooks to pipelines, and

streamline deployment of ML prototypes

to production

• Monitor, measure and analyze ML

scenario runs



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Automate the creation of complex machine learning

pipelines with intuitive tools for configuring machine

learning artifacts.

Out of the box ML deployment.

Configurable Toolbox

Comprehensive workflow automation

Enable automation across machine learning

workflows, from data preparation to model

selection, validation, and deployment.

Scale model performance with node hours.

Preconfigured functionality

Deploy machine learning technology without

specialist data scient expertise using preconfigured

features. Smart way of deciding which tools to use.

SAP Data IntelligenceAuto ML environment



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SAP Data Intelligence: Data Pipelining & ProcessingABAP CDS Reader

Application Tables

ABAP CDS Layer

SAP S/4HANA 1909

SAP S/4HANA CE

DB triggersLogging

table

ABAP Pipeline

Engine

Initial Load &

Inserts, Updates, Deletes

ABAP CDS replication from SAP S/4HANA to file storage


The ABAP CDS READER operator allows the replication of

SAP ABAP CDS Views and custom ABAP CDS views in

initial load and delta mode.

CDC engine

More than 250

operators:



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Further

Analysis

SAP Datawarehouse

Cloud



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SAP ranked as a LEADERFrom both Forrester and Gartner

SAP was recognized as leader in the Translytical Data Platforms Wave by Forrester and as leader in the Operational

Database Management Systems by Gartner for its current offering, strategy and market presence.

The Forrester Wave™ is copyrighted by Forrester Research, Inc. Forrester and

Forrester Wave™ are trademarks of Forrester Research, Inc. The Forrester

Wave™ is a graphical representation of Forrester's call on a market and is plotted

using a detailed spreadsheet with exposed scores, weightings, and comments.

Forrester does not endorse any vendor, product, or service depicted in the

Forrester Wave. Information is based on best available resources. Opinions reflect

judgment at the time and are subject to change."

• Architecture

• Data management

• Data types

• Development tools

• Data modeling

• Transactions

• Analytical queries

• Advanced analytics

• Streaming

• Data Security

• Performance features

• Ability to execute

• Roadmap

• Implementation support

• Product revenue

• Install base

• Market awareness

• Partnerships

According to Forrester, “SAP crushes

translytical workloads”. SAP earned 5/5

scores for 18 criteria including:

Recognized as a Leader for the for

Operational Database Management

Systems

*The Gartner documents are available upon request from SAP. Gartner does not

endorse any vendor, product or service depicted in its research publications, and

does not advise technology users to select only those vendors with the highest ratings

or other designation. Gartner research publications consist of the opinions of

Gartner's research organization and should not be construed as statements of fact.

Gartner disclaims all warranties, expressed or implied, with respect to this research,

including any warranties of merchantability or fitness for a particular purpose .

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its

affiliates in the U.S. and internationally, and is used herein with permission. All rights

reserved.

• Gartner Magic Quadrant for Operational Database

Management Systems, November 2019

• Gartner Magic Quadrant for Data Integration Tools,

August 2019

• Gartner Magic Quadrant for Data Quality Tools,

October 2019

• Gratner Magic Quadrant for Data Management

solutions for Analytcis, January 2019

https://www.gartner.com/en/documents/3975492/magic-quadrant-for-operational-database-management-syste

https://www.gartner.com/en/documents/3955823/magic-quadrant-for-data-integration-tools

https://www.gartner.com/en/documents/3905769/magic-quadrant-for-data-quality-tools

https://www.gartner.com/en/documents/3898487/magic-quadrant-for-data-management-solutions-for-analyti



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SAP Data Intelligence on sap.com(blogs, podcasts, demos, articles, etc.)

Try the interactive demo

Explore the Interactive use case discovery tool

See The Total Economic Impact of Machine

Learning at SAP

SAP Data Intelligence: Next Steps

https://www.sap.com/dataintelligence

https://www.sap.com/cmp/td/sap-data-intelligence-demo.html?infl=c59e7386-8dfc-4ad0-a44d-45c39327afc9

https://www.sap.com/dmc/exp/2019-09-65036/index.html

https://www.sap.com/documents/2019/12/02565150-797d-0010-87a3-c30de2ffd8ff.html?infl=c59e7386-8dfc-4ad0-a44d-45c39327afc9



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SAP Data Intelligence – A rapidly growing customer base

BTS Story - SAP InnovationAward 2020

Article - Video

BTS Story - SAP Innovation Award 2020 BTS Story - SAP InnovationAward 2020

Video

BTS Story – Article on sap.com

Video

BTS Story - SAP Innovation Award 2020

Video

BTS Story - SAP Innovation Award 2020

Video

SAP Innovation Award 2020

https://www.sap.com/documents/2020/05/727a386d-957d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/idea-place/sap-innovation-awards/submission-details-2020.html?idea_id=1133

https://www.asug.com/insights/kaiserwetter-looks-ahead-with-sap-artificial-intelligence-to-support-investors-in-renewable-energy

https://gateway.on24.com/wcc/eh/2500900/

https://www.sap.com/documents/2020/01/821af5b5-807d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/bin/sapdxc/inm/attachment.5297/pitch-deck.pdf

https://www.sap.com/documents/2020/07/6e32ad37-a27d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/bin/sapdxc/inm/attachment.7887/pitch-deck.pdf

https://www.sap.com/assetdetail/2020/02/840788f2-857d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/documents/2020/03/66bf6ef3-8b7d-0010-87a3-c30de2ffd8ff.html

https://news.sap.com/2018/10/new-release-sap-data-hub-accelerates-trusted-data-discovery-orchestration-delivery/

https://www.sap.com/assetdetail/2019/03/b6a4571b-417d-0010-87a3-c30de2ffd8ff.html

https://www.sap.com/documents/2019/12/5a7445d8-777d-0010-87a3-c30de2ffd8ff.html?infl=3c336323-a60f-46d3-ac73-599cff18e31f

https://www.sap.com/idea-place/sap-innovation-awards/submission-details.html?idea_id=604&infl=3c336323-a60f-46d3-ac73-599cff18e31f

https://www.sap.com/assetdetail/2019/12/fed421c0-777d-0010-87a3-c30de2ffd8ff.html?infl=3c336323-a60f-46d3-ac73-599cff18e31f

https://www.sap.com/documents/2019/10/22891d98-6c7d-0010-87a3-c30de2ffd8ff.html


https://www.sap.com/assetdetail/2019/10/ba322491-6c7d-0010-87a3-c30de2ffd8ff.html


SAP Services



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IoT Ingestion and

Orchestration

Business Application Transformation

Transform IoT event streams into

enterprise-ready data, and derive

actionable insights

Streamline innovation initiatives around

Business Applications, supporting

enterprise transformation programs

▪ Predictive maintenance

▪ Manufacturing product

as-a-service

▪ Intelligent logistics

▪ Customer Risk Intelligence

with S/4 HANA Cloud

▪ Timesheet Analytics with

Fieldglass

SAP Data Intelligence for Intelligent Information Management

App

SAP HANA

Data Lake

Data Streams

SAP Data

Intelligence

Data Warehousing

Build a multifaceted data

warehouse, across diverse and

distributed data assets

▪ Customer 360 view

▪ Marketing campaign

effectiveness

▪ Renewable energy

production simulation

SAP Data

Intelligence

Analytics Cloud

SAP HANA Data Lake

SAP BW4/HSAP Data Intelligence

S/4SAP Cloud

Apps

Advanced

Analytics

Intelligent

Processes



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Predictive quality in manufacturing plantThe business objective: improving Quality Management process

Big and Diverse

Data

Applied

Intelligence

Reimagined

Business Processes

Smart Quality App

IR images of

components

Material

Master

Pressure sensor

measures

ML-based extraction

of image features

Predictive Analytics



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Enterprise Data Center

Manufacturing plant

Predictive quality in manufacturing plantThe prototype without Data Intelligence: could not go beyond experimental stage

Raw Material Molding Press

IR

Camera

Pressure

Sensor ERP Data

Smart

Quality App

Offline Image

Processing

Event

Streaming

Cloud Data Lake

Not ready for

production



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Enterprise Data Center

Manufacturing plant

Predictive quality in manufacturing plantThe project with Data Intelligence: Data Science streamlined across the landscape!

Raw Material Molding Press

IR

Camera

Pressure

Sensor

Image

Processing

Event

Streaming

Cloud Data Lake

Correlate

Data

PAL engine

ERP Data

Smart

Quality App

Data Intelligence

pipelines

Production

ready!



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Renewables simulation centreThe business objective: help municipalities improve their renewable production

Big and Diverse

Data

Applied

Intelligence

Reimagined

Business Processes

Smart infrastructure

development

Energy production (eMeter / Kafka)

Grid load data(Scada / OsiSoft)

ML-based clustering

algorithms

Predictive Analytics

Assets and capacity (ERP and non-SAP CRM)

Customer energy

consumption(SAP IS-U and CRM)



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Renewables simulation centreThe implementation: municipalities get end-to-end view on possible development!

Data Intelligence

pipelines

Renewables

Simulation

Centre Smart

Infrastructure

Development

Calculate Energy

Production

Grid Load Data

Energy

Consumption

Calculate capacity

per municipality

Energy prod.

Asset Data

Energy

Consumption

Grid Load

Predictions

Asset Data

CRM



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How we operate – SAP Services Portfolio

SAP

Services

Implementation

ServicesAccelerate the implementation,

migration, and adoption of SAP

solutions with a combination of unique

expertise and best practices.

SAP Led

Innovation and Advisory

ServicesGet the guidance you need to take the

best path toward digital

transformation, cloud adoption, and

sustainable innovation.

SAP Led

Premium Engagements

Support your implementation with

packaged services and support to co-

innovate with SAP and create ground-

breaking business models.

Customer / Partner Led

Education

Acquire the right skills to decide on,

design and deliver the best solutions for

your requirements

SAP Delivered



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ImplementationDiscovery

Analytics High Level Service Portfolio - Examples

STRATEGIC ADVISORY for Analytics

Can you help me to:

• focus my vision and define my

strategy?

• Design my Analytics architecture

and implementation roadmap?

• Respond to business intelligence,

IoT, Data Management, Data

Science needs?

3-4 weeks(*)

BW/4HANA

Discovery Workshop

• What are the Business Benefits

of BW/4 HANA?

• Am I ready to migrate?

• What is the migration path?

2 weeks(*)

BW/4HANA Fast Conversion

Benefits:

• Quick win on a Fixed Scope Implementation

• Experience the value of BW/4 HANA with a fast implementation

• Can be extended through Advisory to Partners (rollouts)

10 weeks(*)

SAP HANA Datawarehouse Migration

Benefits:


• Experience the value of sap HANA with a fast implementation

• Suitable to migrate a datawarehouse based on any relational database

8 weeks(*)

SAC Envision &

Prototype

Benefits:

• Absorb Methodologies & Best Practices

• Prototype, Design & Build a quick scenario

3 weeks(*)


Proof-of-Concept

Benefits:

• Identify a value added use case



2-3 weeks(*)

(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase



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ImplementationDiscovery

Analytics High Level Service Portfolio - Examples

STRATEGIC ADVISORY for Analytics

Can you help me to:

• focus my vision and define my

strategy?

• Design my Analytics architecture

and implementation roadmap?

• Respond to business intelligence,

IoT, Data Management, Data

Science needs?

3-4 weeks(*)

BW/4HANA

Discovery Workshop

• What are the Business Benefits

of BW/4 HANA?

• Am I ready to migrate?

• What is the migration path?

2 weeks(*)

BW/4HANA Fast Conversion

Benefits:


• Experience the value of BW/4 HANA with a fast implementation

• Can be extended through Advisory to Partners (rollouts)

10 weeks(*)

SAP HANA Datawarehouse Migration

Benefits:


• Experience the value of sap HANA with a fast implementation

• Suitable to migrate a datawarehouse based on any relational database

8 weeks(*)

SAC Envision &

Prototype

Benefits:



3 weeks(*)


Proof-of-Concept

Benefits:

• Identify a value added use case



2-3 weeks(*)

(*) Estimates do not constitute a binding offer for SAP and will be confirmed / modified after an appropriate assessment phase



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Settembre: il mese dei dati

Il valore dei dati

nell'Intelligent Enterprise

8 settembre

SAC e BI 4.3: un'unione vincente

17 settembre

L'oceano dei dati aziendali, immergersi

per scoprire i mondi sommersi: Data

Science e Data Management

22 settembreIl valore dell'innovazione

portato da BW/4 2.0

24 settembre

Data Warehouse di

prossima generazione

15 settembre



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• Adopt solutions that allow you to concentrate on the value added

part (invert 80 prepare – 20 analyse ratio).

• A sound Data Management Strategy is key to achieving this

goal, complemented by a robust Data Management Platform.

• Data Science must also be managed.

• SAP has been investing heavily in the development and

innovation of Data Management solutions becoming a leader

in this sector.

Key Take-Aways

SAP Services Design DeliverDiscover

SAP Analytics

CloudSAP BW/4

SAP Data

IntelligenceSAP HANA

(& Cloud)


Raise your hand and talk live with us

Raise your hand to be

unmuted and ask your

question

Questions & Answers

https://webinars.sap.com/mea/sap-dbs-emea-south-for-intelligent-enterprise/en/home


Thank you.

https://webinars.sap.com/mea/sap-dbs-emea-south-for-intelligent-enterprise/en/home

mailto:[email protected]

© 2020 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.

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