Keynote presentation from ANZ SAP Innovation Forums and BI Briefings Tour: An overview of SAP’s five market categories. Learn more at: http://bit.ly/Lj18rw

1. Business In The Moment:
From Reactive to Proactive
Timo Elliott, May 2012
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2. Legal Disclaimer
The information in this presentation is confidential and proprietary to SAP and may not be disclosed without
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subscription agreement with SAP. SAP has 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's 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 document is not a commitment, promise or legal
obligation to deliver any material, code or functionality. This document 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 document is for informational purposes and may not be
incorporated into a contract. SAP assumes no responsibility for errors or omissions in this document, except
if such damages were caused by SAP´s willful misconduct 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.
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3. Topics BI Trends
BI Innovation
Conclusion

4. BI Trends

5. Top Technology Priorities of CIOs, Gartner
2011 2012
Rank Technology Rank Technology
1 Cloud computing 1 Analytics and business
intelligence
2 Virtualization
2 Mobile technologies
3 Mobile technologies
3 Cloud computing (SaaS,
4 IT management IaaS, PaaS)
5 Business Intelligence 4 Collaboration
6 Networking, voice, and technologies (workflow)
data communications 5 Legacy modernization
7 Enterprise applications 6 IT management
8 Collaboration 7 CRM
technologies 8 ERP applications
9 Infrastructure 9 Security
10 Web 2.0 10 Virtualization
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6. Surging Growth in Business Analytics
+16.4%
BI growth has more than quadrupled over
last two years!
“After three decades, the business analytics +13.4%
market is finally reaching the mainstream
There are few growth inhibitors in the
foreseeable future”
Dan Vesset, IDC
+3.8%
2009 2010 2011
Gartner: worldwide BI, analytics and performance management software revenue
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7. Analytics is an Ever-Increasing Share of IT Budget
“BI spending has far surpassed IT budget
growth overall for several years” +4.3%
Dan Sommer, Gartner
+4.1%
3.9%
2009 2010 2011
Gartner: worldwide BI, analytics and performance management software revenue
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8. IT Spending Per Head Rising Fast
New revenue generated from IT
initiatives (enterprise innovation, context- +60%
aware computing, social networks, etc.)
will become the primary factor
determining CIOs compensation.
Information-smart businesses will
increase recognized IT spending per
head by 60%.
“Enterprise leaders and stakeholders must
change their way of thinking that “lower
is better” for IT spending per employee”
Gartner Predicts 2011
2011 2015
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9. BI More Successful Than Ever
2011 Successful BI Survey
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10. Business Analytics Market Shares
Business Analytics Market (BI, EPM, Analytic Applications)
Share of Market, 2011
SAP 24%
Oracle 15.6%
SAS Institute 12.6%
IBM 12.1%
Microsoft 8.1%
Gartner Market Share Analysis: Business Intelligence, Analytics and Performance Management Software, Worldwide, published April 2012
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11. The New Data Warehousing
External data
Cloud
Sensors, Real-time Massively Web, Unstructured
Parallel
Hadoop, NoSQL
Complex
Event
Processing New Analytic
Platforms
Calculation In-Memory Column
Engine Data
Store
Everybody in
the industry is
“Extreme data doing some
performance” combination
ERP, Replication
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12. The New Analytics Experience
Extranets
Collaborative
Action-
Decision
oriented
Context
Support
Mobile Predictive
Data
Discovery
Vizualization, Social
Geolocation
“Actionable
Insights”
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13. What’s Hotter?
Collaborative, real-time, and predictive rose most, while ease of
implementation, fast exploration, and ease of use remained highly important
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14. What’s Harder?
Big Data and Unstructured Content
Big Data!
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15. Cindi Howson, BI Scorecard
“SAP is once again innovating in BI,
not just integrating”
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16. BI Innovation

17. Business Intelligence Innovation
BI Core Creative Mobile Extreme Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
Innovation without Disruption
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18. Core Business Intelligence
BI Core Creative BI Mobile BI Extreme Analytics Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
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19. Consol Glass
Knows their customers
19

20. Johnson Controls
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21. Easy, Rich Insight
With Search
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22. BusinessObjects Open, Robust Platform
All SAP sources, including SAP HANA, SAP ERP
“infoSets,” SAP queries, ABAP, SAP Sybase IQ
analytic functions support
Access to Oracle EBS
Essbase 11 dimensional access via MDX
Hot backup and restore,
lifecycle management,
monitoring, reporting
Native Sharepoint 10 Integration
Expanded support for
Open Source developers and integration
Hadoop Hive
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23. Insight to Action
Web Services
BI docs
Supported source documents:
• SAP Crystal Reports
• SAP BusinessObjects Dashboards
Applications
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24. Top Technical Factors in BI Success
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25. Top in ETL Functionality and Ease of Use
Source: Passionned ETL Survey Feb 2012
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26. Applications for Data Stewards
26

27. What Do These SAP EIM Customers Have in Common?
Run better with complete and accurate information
Controls data quality Wow customer Reduced global spend
and reduced IT costs service
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28. Business Intelligence Strategy
SAP BI Playbooks: Interactive discovery, prioritization, and recommendations for addressing
business pains and a successful enterprise BI strategy
Current BI BI Strategy &
Execution BI Strategy
Needs Baseline Gap Analysis
Baseline Foundation
Analysis
Playbook 1 Playbook 2 Playbook 3 Playbook 4
Create high-level Assess existence of BI Prioritize gaps of With prioritized gaps,
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GAP
Media Performance
BUSINESS SOLUTION / BENEFIT
Determi ne what metrics are needed to
EXPECTED
BENEFIT /
VALUE
Integrates different t ypes
Tracking - We need demonstrate media performance of information i nto a
summary of BI needs Strategy, existing BI needs, and promote the benefits of
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deeper insight into how
our media inv estments
across various channels
are per forming so we can
bet ter allocate funds.
Sales Performance
Determi ne who needs the information, and in
what form.
Automate the del ivery of t he informat ion
requi red to all who need it.
Integrate data sources if needed.
Deter mine the causes of sales r eductions
si ngle view to per form
trend analysis and
provide a bet ter
understanding of r eve nue
relationships.
Combines different
by LOB, and their completeness of non-existent or poorly- addressing the gaps,
Management - We need (bottlenecks in sales process), and the sources of sales
deeper insight into sales appropriate i nfor mation/ KPIs to track informati on such as
per formance, to be abl e Int egrate multiple sources (if nec essary). quota, quota achieved,
to understand where Deter mine who needs what information pipeli ne, tenure,
we' re getting tracti on, and in what for m projected close for next
where we're not, and why Automate t he del iver y of t he information quart er to identify trends
so adjust ments can be and pot enti al issues.
made
expected impact if execution, and impact executed strategy and map BI solutions to
14 Sales Var iance - We need
to more qui ckly be able to
identify what is causi ng
sales variances across
product, r egion, L OB, etc
Deter mine the causes of sales r eductions
(bottlenecks in sales process), and the
appropriate i nfor mation/ KPIs to track
Int egrate multiple sources (if nec essary).
Deter mine who needs what information
and in what for m
Combines different
sources of sales
informati on such as
quota, quota achieved,
pipeli ne, tenure,
projected close for next
Automate t he del iver y of t he information quart er to identify trends
addressed if completed components solve the business pain
and pot enti al issues.
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29. Creative Business Intelligence – Fast, Simple, Agile
BI Core Creative BI Mobile BI Extreme Analytics Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
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30. New Analytic Infrastructures
Calculation Engine
Business Intelligence
Query Results
Query
We now have the possibility to Aggregates
dramatically simplify our analytic
infrastructures Indexes
SPEED & FLEXIBILITY
Data Warehouse
Data
Marts
ETL
OperationalPlatform
Analytic Data Store
Copy
Business Applications Data
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31. Blur Operations and Analytics
Use a single platform for both analytics and applications
Business Intelligence Analytic Platform
Copy
Business Applications Data
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32. 32

33. Exploration Views
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34. Visual Intelligence
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35. Visual Intelligence
Time and geography
awareness
Easy drag-and-drop
for immediate ad hoc
views
No need to build
queries or use scripts
Consuming,
categorizing,
and filtering measures
and variables
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36. Mobile Business Intelligence
BI Core Creative BI Mobile BI Extreme Analytics Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
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37. 37

38. Mobile
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39. Mobile
39

40. Try the new “Experience SAP” Mobile Application
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41. Paul Predicts
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42. Afaria Analytics
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43. Afaria Analytics
Number of Devices by Operating system (OS)
Number of Devices by Carrier
Devices Number of Devices by Manufacturer
Number of new devices added each month by OS
Ownership of Devices [Corporate/Personal]
Roaming activity of Devices [Data/Messaging/Voice]
International roaming activity of Devices for current billing period
Activity Number of devices that exceed the defined activity threshold
Data, Voice and Messaging Usage by Carrier
Number of Enterprise Applications installed by month
Top 10 Enterprise Applications by installation status
Applications Volume Licensing status for Enterprise applications
Top 10 Enterprise Applications by platform & installation status
Number of Enterprise applications that are out of version
Devices that are compromised (iOS & Android)
Number of Devices that have not connected in time
Compliance Number of iOS Devices without a password policy
Number of Devices that are out of compliance (by platform)
Number of Devices that have access violations (by platform)
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44. Voice Recognition is Getting Siri-ous
44

45. Next Up: Brain Waves!
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46. 46

47. Extreme Business Intelligence
BI Core Creative BI Mobile BI Extreme Analytics Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
47

48. Data Scientists Wanted
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
48

49. 2.5 PB
7.9 ZB
49

50. 50

51. BIG DATA
REAL TIME
PREDICTIVE
51

52. VELOCITY
Worldwide digital content will
double in 18 months, and
every 18 months thereafter.
IDC
Mobile
Inventory
CRM Data
GPS
Emails
Planning Demand
Tweets
Opportunities
Instant Messages
Speed
Velocity
VOLUME Customer
VARIETY
Things
Service Calls
In 2005, humankind created 80% of enterprise data will
150 exabytes of information. Sales Orders
be unstructured, spanning
In 2011, 1,200 exabytes will Transactions traditional and non traditional
be created. sources.
The Economist Gartner
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53. Understand Big Data through Information Management Lifecycle
Technologies supporting enterprise requirements naturally co-exist and co-evolve
Structured
Versatile data queries
Effort
using SQL/OLAP
Database
Scripting and UDF to
Replication/ Many instance formats
process In-DB
synchronization Many storage formats
Federate queries across Mature connectors to
Extract-transform-load ACID properties DB and DFS transport data to variety
Event stream processing Transactional Low-latency processing of visualization tools
Ingest Store Process Present
File transfer Distributed File System (DFS) Transform to pre-process or at Need new storage
Extract-load data from Files stored in native format time of request using map- formats for high speed
variety data sources reduce and high concurrency
Software-driven reliability model
Huge amount of efforts to Emerging visualization
BASE properties
Effort
define the SQL tools
Lack of BI tool support
Scheduled chains to create
consumable information
Simple SQL-like connectivity
High-latency processing
Unstructured
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54. SAP Big Data Processing Framework
Mobile
Big Data Analytics
Present
Big Data Applications
Sybase ESP Sybase ASE SAP HANA Sybase IQ Hadoop
Process
Stream & event Transaction In-memory MapReduce
processing Analytic Grid
Processing Technology Batch Compute Framework
Store
DB Engine DB Engine DB Engine Hive/HDFS
Sybase ESP Sybase Replication Server, SAP BusinessObjects Data Services
(Integrate / synchronize data across deployment options)
Ingest
Monitor / filter
streaming events
Semi-structured Data Structured Data Unstructured Data
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55. Hadoop And Related Technologies
Doug Cutting with his son’s “Hadoop” elephant
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56. Accessing Hadoop Data
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57. Information Design Tool on Hadoop Hive
A Data Foundation against a Hive schema
One can draw joins between the Hive tables
We support Hive tables, aliases, derived tables, Hive views and Hive partitioned tables
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58. Examples
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59. Complex Event Processing
Event streams Alerts
Sensors CEP engine
Dashboards
Transactions
Downstream apps
Price feeds
In-memory cache
Click streams
On-demand
Etc. historical
analysis and
reporting
Situational awareness Turn raw data into business events
Continuous insight of what is Extract insight from the flood of raw data
happening now Filter, consolidate, and correlate
Immediate response Identify trends and patterns as they happen
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60. CEP For Every Industry
60

61. Predictive Analytics
“The Next Big Thing in BI” for two decades! – but maybe it’s finally time?
Business Maturity
Better Data
Increased Performance
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62. Predictive Analytics
How do historical sales, costs, key
performance metrics, and so on, translate
to future performance? How do predicted
results compare with goals?
Forecasting
What are the main
What anomalies might
influencers of customer
exist and conversely
Key satisfaction, customer
what groupings or Anomalies
influencers churn, employee turnover,
clusters might exist for
and so on, that impact
specific analysis?
Challenges success?
What are the correlations in Relationships Trends What are the trends –
the data? What are the historical/emerging, sudden
cross-sell and up-sell step changes, unusual numeric
opportunities? values –that impact the
business?
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63. Predictive Analysis
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64. Predictive Analysis
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65. Predictive Analysis
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66. Predictive Analysis for the Rest of Us
The Predictive Analysis Process Designer can connect to BOE 3.x and 4.x Universes enabling them as data
Embedding Predictive Analysis Services to provide for example – trend analysis, forecasting, outlier detection etc.
Web Intelligence Web Intelligence Explorer
Explorer StreamWork Analysis, Edition for OLAP
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67. Visual 3D Analytics
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68. Cloud and Social BI
BI Core Creative BI Mobile BI Extreme Analytics Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
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69. BI On Demand
69

70. Decision Collaboration and Analytics, On-Demand
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71. Collaboration in Your On-Premise Analytics
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72. 72

73. SAP Social Intelligence
Expertise location — Relationship Mining — Social Network Analysis
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74. Conclusion

75. What Causes Decision Problems? People!
Source: Economist Intelligence Unit
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76. Business Analytics Solutions from SAP
Data Sources Analytic Capabilities Access
Analytic
Applications
Enterprise
Business
Performance
Intelligence
Management
Collaboration
Enterprise Governance,
Information Risk, and
Management Compliance
Data
Warehousing
Services and Best Practices
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77. Business Intelligence Innovation
BI Core Creative Mobile Extreme Social
Core for For IT and First experience Big data Capture the
innovation Department for BI Real-time decision
Complete BI Fast time-to- Content to point Predictive Opinion and
Suite value of impact Facts
Continued Connected to Expand to Leverage
Leadership the Enterprise untapped users the network
Innovation without Disruption
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78. SAP BusinessObjects Resources
Visit our Business Analytics resource center
Visit our blog http://blogs.sap.com/analytics
Join our official fan page on Facebook and follow us on Twitter
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© SAP 2009 / Page 78

79. Conclusion
Revolution in analytic platforms
Back end: simplification, new real-time opportunities
Front end: mobile first, collaboration and consumerization
Big data is not just about big data
SAP Big Data Framework for volume, velocity, variety, validity
BI Strategy
SAP BusinessObjects lets you leverage your existing investments to new
users and uses
79

80. Thanks!
You Should Follow Me on Twitter: @timoelliott
Email:
timo.elliott@sap.com
Analytics Blog:
timoelliott.com