http://spr.ly/SBOUC_VP - The integration of SAP BusinessObjects BI solutions and SAP HANA in-memory computing was made in heaven to deliver a perfect match. It enables detailed insights into the business performance of your organization in real-or right-time. This highly differentiated combination enables looking for answers at the speed of thought with no limit to the volume of data you can tame. Whether you're looking for self-service exploration and discovery capabilities across mountains of data or looking at taking more traditional business intelligence functionality such as reporting, dashboarding, and analysis on steroid, there is a unique compelling value for you in this end-to-end solution. Presenters: Dan Kearnan and Thierry Audas, SAP

1. September 10-13, 2012
Orlando, Florida
Innovating the Real-Time Business with
SAP BusinessObjects BI and SAP HANA

2. Innovating the Real-Time Business with
SAP BusinessObjects BI and SAP HANA
Dan Kearnan (@dkearnan) / Thierry Audas (@taudas) – SAP
RUN
FASTER

3. Agenda
Introduction to SAP HANA
Why SAP HANA for Business Intelligence
SAP BusinessObjects BI Use Scenarios
Customer Case Studies
Wrap-up
© 2012 SAP AG. All rights reserved. 3

4. Introduction to SAP HANA

5. What is SAP HANA?
 A flexible, data source agnostic in-memory
analytic appliance to quickly process and
analyze large volumes of transactional data
in real-time
SAP HANA™
SAP
SAP HANA

Information
Studio
A modern platform that serves as the Composer
foundation to develop a new class of real- SAP HANA Database
time applications
Calculation Row & Column
Engine In-Memory
 In-Memory Database that runs under SAP Real-Time Data
SAP
BusinessObjects
Replication
NetWeaver BW for a super-charged Data Data Integrator
Warehouse
© 2012 SAP AG. All rights reserved. 5

6. Accelerated Business Intelligence with SAP HANA
Business Intelligence
Access and analyze large volumes of
transactional data in real-time
SAP HANA™
SAP
Data Processing SAP HANA
Information
Studio
Composer
Incredible fast processing of large
data volumes SAP HANA Database
Create views and calculations on data
Calculation Row & Column
in a visual modeling environment Engine In-Memory
Based on in-memory technology
SAP
Real-Time Data
BusinessObjects
Replication
Data Integrator
Data Capture
Real time based off of large volumes
of transactional data
© 2012 SAP AG. All rights reserved. 6

7. Why SAP HANA for
Business Intelligence

8. Today's World
Transactional Data
System Warehouse /
Marts
OLTP OLAP
'Real life'
Analysis and insight
business
transaction Actions
Real-time posting Aggregation Limited flexibility due to
into transactional pre-defined data structures
Batch transfer to
system
Data Warehouse Long query run-times
Loss of detail
Reporting
challenges Long wait times for reports
Large volumes
High impact
© 2012 SAP AG. All rights reserved. 8

9. What if This Would All Happen in Real-Time?
SAP HANA
In-Memory
Computing
No Aggregation / No Data Staging / No Data Marts
'Real life'
Analysis and insight
business
transaction Actions
Real-time loading High performance / Fast, flexible, and detailed
into SAP HANA large volume data analytics over large
processing volumes
© 2012 SAP AG. All rights reserved. 9

10. Why In-Memory Computing?
Pain points of big data
60%
Percentage of respondents (n = 196)
53%
47% 47%
40%
39%
20%
0%
Business users don't Too much data is Data is too fragmented Volume of data is
get information fast inaccessible / under / siloed growing too rapidly
enough used
Source: Aberdeen Group, December 2011
© 2012 SAP AG. All rights reserved. 10

11. Performance Benefits:
More Data, More Speed, More Efficiency
Use In-Memory
Performance Don't Use In-Memory
Computing
Metrics (n = 163) Benefit
(n = 33)
Median amount of 2.1 times
38 terabytes 18 terabytes
active business data more data
Median amount of data 14 terabytes 4 terabytes 3.5 times
analyzed (37% of all data) (22% of all data) more data
Avg response time for 107 times
42 seconds 75 minutes
data analysis or query faster
Data volume processed 375 times
1200 terabytes 3.2 terabytes
per hour more efficient
Source: Aberdeen Group, December 2011
© 2012 SAP AG. All rights reserved. 11

12. Business Benefits:
Increased Satisfaction and Trust in Business Data
80%
Use in-memory
Percentage of respondents (n = 196)
69% Don't use in-memory
60% 63%
59%
48% 50%
40%
42% 41%
20% 24%
0%
Satisfied with self- High trust in data Quality / relevance of Anytime, anywhere
service queries systems / policies analyzed data access to information
Source: Aberdeen Group, December 2011
© 2012 SAP AG. All rights reserved. 12

13. SAP BusinessObjects BI
Use Scenarios

14. A Closer Look at Data Storage and Business Modeling
with SAP HANA
Data in SAP HANA is managed with tables SAP HANA
and/or information models database
Tables
 Row and column tables
 Storage of detailed operational ‘raw’ data
Information
Information models models
 Logical views of the data that define useful
business models and logic on top of tables
– Analytic views Tables
– Calculation views
 Created by the SAP HANA Studio, a database
management and modeling tool for SAP HANA
 Information models do not store data
© 2012 SAP AG. All rights reserved. 14

15. The SAP BusinessObjects BI and SAP HANA Stack
Full suite of SAP BusinessObjects BI solutions Discovery Dashboards
enabled and optimized to leverage SAP HANA and Analysis and Reporting
 Discovery and analysis SAP HANA™
 Dashboards and reporting SAP
SAP HANA
Information
Studio
Composer
2 approaches to the integration
 Plug and play access to information models SAP HANA Database
 Universes as modeling layer on top of tables Calculation
Engine
Row & Column
In-Memory
SAP
Real-Time Data
BusinessObjects
Replication
Data Integrator
© 2012 SAP AG. All rights reserved. 15

16. The Need for Optimized Integration with SAP HANA
Access and leverage all business models and business logic now
Features/Functions Value BI 4.0
In-database computations High performance
Hierarchies Multidimensional analysis
Variables/prompts Interactive analysis
Time intelligence Time-based/historical analysis
Predictive algorithm library In-database predictive analysis
Multi-lingual Global deployments
Currency conversion Global deployments
Row-level security Compliancy
© 2012 SAP AG. All rights reserved. 16

17. Discovery and Analysis with Plug and Play Access to
Information Models
SAP HANA
Database
Explorer / Visual Intelligence
Native access
Analysis Information
Models
Tables
© 2012 SAP AG. All rights reserved. 17

18. Empower Analysts with Intuitive Multidim Analysis of
Large Data Volume for Immediate Insights
Modern and familiar
MS Office or Web 2.0
user experience
Few simple clicks
to immediate
business insights
Simple drag-&-drop
to filter, drill-down,
and slice-&-dice
© 2012 SAP AG. All rights reserved. 18

19. “Highly Differentiated Combination for Self Service BI”
The Forrester WaveTM: Self-Service Business Intelligence Platforms, Q2 2012
“ In-memory is the name of the self service BI game these
days when one is looking for answers at the speed of
thought. Most in-memory DBMS engines, however, have
practical limitations of analyzing no more than a few
hundred GBs at a time. To address this limitation, SAP now
offers a highly differentiated combination of SAP
BusinessObjects Explorer with its top exploration and
discovery capabilities and SAP HANA in memory appliance.
© 2012 SAP AG. All rights reserved. 19

20. Unlock the Creativity of the Enterprise with
SAP Visual Intelligence and SAP HANA
Self-service BI within departments
 Pull together data from SAP HANA
and a variety of corporate sources
 Manipulate, cleanse, enrich, and
merge with personal data files
 Explore and analyze with powerful
interactive visualizations
Enterprise reach with SAP HANA
 Publish as information models to SAP
HANA for reaching out to all users
 Consume with SAP BusinessObjects
Explorer on the web or mobile devices
© 2012 SAP AG. All rights reserved. 20

21. Self-service BI with Enterprise Reach
Explorer
Web Explorer
Mobile
Business Users
Visual
Intelligence HANA
Business
Analysts
SQL
© 2012 SAP AG. All rights reserved. 21

22. Dashboards and Reporting off Information Models
Leverage Business Models and Business Logic in SAP HANA
SAP HANA
Database
Dashboards Extended SQL
Universe Information
Models
Web Intelligence
Crystal Reports Tables
© 2012 SAP AG. All rights reserved. 22

23. Dashboards and Reporting via Universes on Top of Tables
Accelerate Existing BI Deployment Without Disruption
SAP HANA
Database
Dashboards
Universe Information
Models
Web Intelligence
Crystal Reports SQL Tables
© 2012 SAP AG. All rights reserved. 23

24. Unleash Big Data with
SAP Predictive Analysis and SAP HANA
Intuitively design complex predictive models to visualize, discover, and share
hidden insights
 Powered by real-time, in-memory performance
 Employ SAP HANA’s in-database predictive algorithms
 Leverage 3,500+ open-source algorithms via SAP HANA’s R integration
© 2012 SAP AG. All rights reserved. 24

25. Unlock the Power of Your SAP NetWeaver BW Data
with Superior Performance and User Experience
SAP NetWeaver BW powered by SAP HANA accelerates
SAP BusinessObjects BI without disruption
 Access to all your data
like never before
 Increase business insight
 Empower self service
© 2012 SAP AG. All rights reserved. 25

26. SAP BusinessObjects BI and SAP HANA:
The Perfect Match in an End-to-End Stack
Provision mountains of heterogeneous
data in real-time
Run lightning-fast queries and calculations
Deliver full spectrum BI functionality
Optimize access to business models and
business logic Find picture
Enable self-service BI with enterprise
reach
Leverage previous BI investments
Unleash big data with predictive analysis
© 2012 SAP AG. All rights reserved. 26

27. 3 Reasons Why a Single Vendor End-to-End is Best
1. Minimize integration challenges
SAP certifies SAP BusinessObjects BI and SAP HANA to work together as an
end-to-end stack
 Only clients and applications certified on SAP HANA will be supported by SAP
 3rd-party certification program planned in the future
2. Faster and easier deployment
Don’t chase down several vendors with missing software, integration challenges,
and information gaps
SAP takes end-to-end responsibility and new features and functions can be
rolled out faster and more easily
3. Better customer support experience
One phone number, one contact
Dealing with one vendor is a better experience. Period
© 2012 SAP AG. All rights reserved. 27

28. Customer Case Studies

29. Key Customer Profiles
 SAP ERP customers looking for optimization of business processes
 Need better analytics to optimize business performance
 Look for immediate value and return on investment
 Want to leverage pre-built business content in SAP ERP
 SAP BusinessObjects customers looking for accelerated BI
 Need to cope with data volume explosion
 Look for non-disruptive upgrade
 Want to leverage existing BI investments
 SAP NetWeaver BW customers looking for best-of-breed BI
 Need to cope with user demand for increased performance
 Look for best-of-breed user experience leading to more efficiency
 Want to leverage existing BW investments
© 2012 SAP AG. All rights reserved. 29

30. 3-3-3 Optimization of Business Processes at Provimi 1
3 Days Proof / 3 Weeks Implementation / 3 Seconds CO-PA Analysis
The company’s top objectives
 Leverage investment in SAP rollout with real-time analytics
 Accelerate CO-PA reporting and analysis
 Shorten end-of-month data reconciliation and closing process
€.5
Million working capital
reduction within a week
The resolution
 SAP HANA with CO-PA accelerator
 SAP BusinessObjects Analysis and Explorer on CO-PA models 15,000x
 Rapid deployment solution to deliver within 3 weeks Faster analysis
and insight
The key benefits
 Incremental cost savings and operational excellence
 Reduced cycle time for repetitive financial processes 40%
Speed-up of monthly
 Business empowerment with interactive analytics close from 5 to 3 days
© 2012 SAP AG. All rights reserved. 30

31. Accelerated BI at a Leading Car Manufacturer 2
The company’s top objectives
 Sustain broad adoption of SAP BusinessObjects BI
 Accelerate BI on 3rd-party database as data volume increases
20x
Web Intelligence
 Lower TCO as query optimization and tuning increases costs
performance
improvement
The resolution
 Load detailed data into SAP HANA from 3rd-party database
 Move existing SAP BusinessObjects reports to the new environment
 Push calculation on detailed data, avoiding pre-aggregation
The key benefits
 A minimum of 20x performance improvement
 No change to the SAP BusinessObjects Web Intelligence reports
 Enabled drill down to details that wasn’t possible in the previous environment
© 2012 SAP AG. All rights reserved. 31

32. Best-of-Breed BI with SAP NetWeaver BW at Lenovo 3
The company’s top objectives
 Operational excellence in global shipment
 Timely and accurate reporting across all plants
 Improve utilization of SAP NetWeaver BW reporting tools
60x
Improvement in BW
query performance
The resolution
 Power SAP NetWeaver BW with SAP HANA
 6 cubes with 100M+ records; 20 tables 10 M+ records 2x-20x
 SAP BusinessObjects BI 4.0 reporting Web Intelligence
performance
improvement
The key benefits
 General BW query performance improved from hrs to mins
 Acceleration of SAP BusinessObjects Web Intelligence reports
 Increased efficiency without disruption
2x
data compression
© 2012 SAP AG. All rights reserved. 32

33. Wrap-Up

34. Key Learnings
SAP HANA enables business intelligence transformation for increased user
satisfaction and business efficiency
The full suite of SAP BusinessObjects BI solutions is enabled and optimized
to leverage SAP HANA
Key use scenarios
 High-performance analysis, dashboards, and reporting on mountains of data
 Self-service BI for the enterprise with big data discovery and exploration
 Best-of-breed BI with SAP NetWeaver BW powered by SAP HANA
 Predictive analysis on big data
© 2012 SAP AG. All rights reserved. 34

35. Need More Info?
www.ExperienceSAPHANA.com
 Hear Directly from SAP HANA Customers
 Technical Resources – Learn how it works
 Blogs from Experts on HANA key topics
Technical resources on SCN.SAP.com
 SAP BusinessObjects BI 4.0 and SAP HANA online briefing
 How to Best Leverage SAP BusinessObjects BI on SAP HANA
 Web Intelligence on SAP HANA Best Practices
ASUG webcast
 Accessing SAP HANA with the Semantic Layer
© 2012 SAP AG. All rights reserved. 35

36. © 2012 SAP AG. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or for any SAP, R/3, SAP NetWeaver, Duet, PartnerEdge, ByDesign, SAP BusinessObjects
purpose without the express permission of SAP AG. The information contained Explorer, StreamWork, and other SAP products and services mentioned herein as
herein may be changed without prior notice. well as their respective logos are trademarks or registered trademarks of SAP AG
in Germany and other countries.
Some software products marketed by SAP AG and its distributors contain
proprietary software components of other software vendors. Business Objects and the Business Objects logo, BusinessObjects, Crystal
Microsoft, Windows, Excel, Outlook, and PowerPoint are registered trademarks of Reports, Crystal Decisions, Web Intelligence, Xcelsius, and other Business
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© 2012 SAP AG. All rights reserved. 36

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