Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

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Transcript of Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

Page 1: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

1© 2014 SAP AG. All rights reserved.

What does HANA mean to the Super UserDallas ASUGJune 12, 2014Devin Williams – Data & Analytics Center of Excellence

Page 2: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

2© 2014 SAP AG. All rights reserved.

SAP R/2SAP R/3 1.0SAP R/3 2.0SAP R/3 3.1SAP R/3 4.0SAP R/3 4.6CmySAP.commySAP ERP 2004

A brief history of user experience by SAP

SAP SmartBusiness Cockpits

Page 3: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2013 SAP AG. All rights reserved. 3© 2014 SAP AG. All rights reserved. 3

Business and IT limitations

Blending Transactions and Analytics in a Single In-Memory Platform: Key to the Real-Time Enterprise, IDC, February 2013

50%

Latency and Old Data

say movements of data take minimum > 2 days

>40%

Stifled Innovation

can’t use predictive, simulations or real time data

>20%

IT Complexity and Cost

say this is the main IT issue today

Page 4: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2013 SAP AG. All rights reserved. 5© 2014 SAP AG. All rights reserved. 5

If you don’t have good answers to these questions…

Can we respond flexibly to changing

business situations?

Do business users always get timely, up-to-date and

accurate information?Which transactions/batch

processes run multiple times a day or are simply too long?

Can we perform scenario simulations or predictive

scenarios? Can we manage the cost and complexity to combine Big Data

with ERP/CRM data?

Do users have access to up-to-date KPIs/reports that they can change

quickly, as needed?

Do we have processes that need massive re-work due to data latency?

…you’re probably doing it the hard way

Page 5: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2013 SAP AG. All rights reserved. 6© 2014 SAP AG. All rights reserved. 6

“ ”

Good answers are available nowStemming from a fundamental question…

14 years after R/3, what would an ERP system look like if we start from scratch?

Hasso Plattner Institute, Potsdam 2007

Page 6: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

7© 2014 SAP AG. All rights reserved.

HANANext-generation platform ... that can process and analyze …structured and un-structured data …

to drive informed decisions

Page 7: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2014 SAP AG. All rights reserved. 8

SAP HANA is the platform for ALL Applications

More than a DB – it’s a true platform

Converged OTLP + OLAP Embedded business logic

Supports any application 60% of HANA use cases are outside of the SAP Landscape

440+ Startups are developing on HANA

SAP HANA PlatformThe Platform for Real-Time Smart Applications & Analytics

Supports any Device

Any AppsAny App Server

SAP Business Suite and BWABAP App Server

Others

ODataROpen

ConnectivityMDXSQL

Real-timeMachineHadoopLocationUnstructuredTransactional

HANA PlatformSQL, SQLScript, JavaScript

Integration Services

Spatial

Business Function Library

Search Text Mining

Predictive Analysis Library

DatabaseServices

Stored Procedure & Data Models

Planning Engine Rules Engine

Application & UI Services

Page 8: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2014 SAP AG. All rights reserved. 9© 2014 SAP AG. All rights reserved. 9

Accelerated roadmap for SAP HANAFrom database to platform

SAP Fiori SAP Smart Business Cockpits

200+ HANA Apps

SAP HANA Enterprise Cloud

SAP Business Suite powered by SAP HANA

SAP NetWeaver Business

Warehouse powered by SAP HANA

SAP HANA

Agile

DatamartsSAP HANA

Apps & Accelerators

2011 January 2013April 2012 May 2013

Real-time analysis and

reporting

OLAP & OLTP

together

New cloud deployment

option

New user

experience

Oracle announced In-

Memory Database option (not available yet)

October 2013

IBM announced BLU

Acceleration

Page 9: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2014 SAP AG. All rights reserved. 10

SAP HANA

sdf

productive scenarios and pilots

Suite on HANA go-live projects in progress

Live scenarios BW on HANA

trained partners Suite on HANA

7,600+

HANA based applications

> 50

users on a single ERP on HANA system

100,000

Customers>3000

500+

200+

Suite on HANA live systems

53

end users on SAP HANA

>440,000

160+

Suite on HANA

May 2014

Suite on HANA contracts

1000+

SAP HANA - Strong Adoption, and Growing

Page 10: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2013 SAP AG. All rights reserved. 11© 2014 SAP AG. All rights reserved. 11

OLTP & OLAP togetherHybrid deployment modelIntegration

Simpler IT with Choice

SAP Business Suite powered by SAP HANA Reinventing suite of applications

New applicationsNew business processesNew business models

New UX tailored by roleInstant insight to actionAll devices

Innovation Foundation

Personalized User

Experience

Page 11: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

12© 2014 SAP AG. All rights reserved.

Real-time Business ProcessesMaterials Resource Planning

CM38Analyze Capacity Requirements

MC8G/SAPAPO_MC8GRelease to ERP Demand Management (Inactive Version)

MC94/SDP94Consensus demand planning (APO-DP, Flexible Planning, Excel, etc.)

MSDTRun Long Term MRP (Simulation)

MS70 Set up data for Component Vendor Analysis

MCEAAnalyze Component Requirements

MD62Review Planned Indep. Rqmts(PIRs)

Iterate/simulate

MCB&Set up data for Inventory Controlling Analysis

MCB)Analyze Inventory Controlling impacts

Batch JobBatch Job

Batch Job

Batch Job

ExcelAnalyze Component Requirements

Batch JobPre-load data

Iterate/simulate

Master data maintenance download/upload

Challenges Total elapsed time: 2+ days Multiple manual steps, several batch

jobs, download/upload Business impact: Forecast accuracy,

promise date attainment, Inventory

MS66Release to operative MRP

Excel/e-mailSupplier collaboration

Batch Job

Batch Job

Process Today is Time Constrained

Improved Demand Response on Suite on HANA

obsoleteobsolete

obsolete

obsolete

obsolete

obsolete

Factor X Faster

SAP Real Time Analytics

Factor 10+ FasterAd-hoc job

Expected Benefits

30% Reduction in part availability delays

15% Increase in fill rate

25% Increase in capacity

20% Reduction in expedited freight

20% Increase in On-time delivery

obsolete

Page 13: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

© 2013 SAP AG. All rights reserved. 14© 2014 SAP AG. All rights reserved. 14

Massive IT simplificationReduce database size, footprint and more

All data processed in hot partition of database is brought and kept into main memory and as a single copy

Multiple Data Sources

1010100101010010010100110101101101110100100010011

Eliminate unnecessary process steps

Accelerate business process performance Data processing optimizations delivered by SAP

Deliver real-time reporting & analysis on live dataNew virtual data model with SAP HANA Live with +2200 views already available Only 1/50th of total data footprint

Page 14: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

16© 2014 SAP AG. All rights reserved.

Personalized User Experience with SAP Fiori

TodayFunctional-based applications

Fiori & Smart BusinessRole-based applications

To: One entry point for the user and UX following common design directions

From: Multiple entry points for the user and inconsistent user experience

From: One transaction for multiple roles exposing all data and functions to all users

To: Decomposed apps for each role exposing only relevant data & functions

Transactional

Search

Analytical

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18© 2014 SAP AG. All rights reserved. © 2014 SAP AG. All rights reserved. 18

SAP Fiori app types+190 apps covering most typical usage

Transactional

InsightsGet a visual overview of a complex topic for monitoring or tracking purposes

Search and ExploreView essential information about an object with contextual navigation between related objects

Analytical Factsheet

Task-based AccessAccess to tasks like change, create or approve processes with guided navigation

runs on SAP HANAruns on any DB and SAP HANA

18© 2014 SAP AG. All rights reserved.

Page 16: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

19© 2014 SAP AG. All rights reserved.

SAP Smart Business cockpits available today

RESPONSIVE PERSONALIZED

BEAUTIFUL

19© 2014 SAP AG or an SAP affiliate company. All rights reserved.

SEAMLESS

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SAP Smart Business for project execution

SAP Smart Business for inventory management

SAP Smart Business for purchasing

SAP Smart Business for event management

SAP Smart Business for transportation management

SAP Smart Business for sales order fulfillment

SAP Smart Business for cash management

SAP Smart Business for financial close

SAP Smart Business for access control mgmt.

SAP Smart Business for sales performance mgmt.

© 2014 SAP AG. All rights reserved.

Page 17: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

22© 2014 SAP AG. All rights reserved.

Smart Accounting, SAP’s Next Gen Accounting Solution

LogisticsDocument

CODocument

FIDocument

Totals & Indices

Financial Accounting

Totals & Indices

Management Account.

From … Stability

Processing

Analytics

CO Document

FI Document

Flexibility

HANA views on the fly

Pre-Defined Aggregates

Flexibility

Stability

Processing

AnalyticsLogical document

LogisticsDocument

… To

Customer benefits• Harmonized

internal and external reporting

• Account driven data model

• Significantly reduced reconciliation effort

• Higher flexibility in reporting and data customization

• Significantly reduced memory consumption

Page 18: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

23© 2014 SAP AG. All rights reserved.

Significantly Reduced Memory Consumption

No more persistent indices and aggregates/totals HANA data base compression No replication to OLAP system for operational reporting

Lower TCO and higher through-put

18,5xSmaller data footprint observed based on real customer data

Page 19: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

25© 2014 SAP AG. All rights reserved.

Obsolete – Reconciliation of multiple ledgers ** – because redundancy has been

eliminated

Obsolete – Reconciliation Ledger ** – due to real-time integration from CO to

FI

Obsolete – Reconciliation of totals vs. line items – because totals are dropped

Obsolete – Reconciliation of OLTP and OLAP – due to real-time analytics on OLTP

Drastically simplified – FI versus CO – due to 1:1 link on line item level

Drastically simplified – FI versus CO-PA * – due to link to CO-PA characteristics

table

Faster financial close and lower costs

Significantly Reduced Reconciliation Effort

* for account-based CO-PA and primary cost elements ** already available with New G/L in SAP ERP

Page 20: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

27© 2014 SAP AG. All rights reserved.

Scientific ComputingPredictive analysis

Agile BusinessProcesses

The NewEmployee

Global ScaleLocal Speed

Machine-to-Machine

Are real-time demands challenging your business?

Big Data

Smart Equipment Sensor data variety

Health Monitoring

Engineering and Fleet services

New Business Models• Performance based

contracts • Diversify portfolio with

big data innovations• Proposal development

Service• Insight-driven

customer service• Service parts planning• Predictive maintenance

Finance & Contracts• Complex billing• Earned Value• Period close• Rate adjustments• Complex financial

simulations and risk mgmt.

Manufacturing Operations• Real-time project execution

• Detailed plant and energy consumption monitoring

• Engineering change impact

• Smarter MRP planning

OLTP

Aggregate

OLAP

Transactional System Analytical System

Page 21: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

28© 2014 SAP AG. All rights reserved.

Where and How to Start?Business Scenario Recommendation, value discovery workshop, …

SAP offers a proven methodology and approach to discover the customer-specific business improvement areas and quantify value potential.

Business Scenario Recommendation (BSR): tailored recommendations based on customer’s current usage of production system Get your own report: http://www.suiteonhana.com

Value Discovery Workshops: proven methodology to discover customer specific business improvement areas and quantify value potential

Page 22: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

29© 2013 SAP AG or an SAP affiliate company. All rights reserved.

RUNBETTER WITH

Page 23: Sap HANA Presentation to SAPnsight Dallas Breakfast Huddle in June 2014

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Real-time Business ProcessesSAP's ERP on HANA Upgrade Project - SAP Runs SAP

Business Challenges Complexity and lack of speed in financial operations FI costs, volumes and complexity that continue to

grow ahead of revenues Meet capability demands to support new business

model requirements

Technical Challenges Reduce multiple landscapes and simplify

development landscape Eliminate custom code to reduce lifecycle cost and

complexity Reduce TCO through landscape consolidation

Benefit Initial benefits realized within 6 weeks of operation Reduced efforts in maintenance billing cycles by

automating workflow and eliminating batch jobs Moved SAP book closing date 8 days sooner

20%Reduced transaction and reconciliation efforts

1 day Eliminated in close cycle

30% Reduced landscape costs

Go Live afterjust 5 months