1. The I’s of Intelligence Trends in BI and the impact of economic slowdown
Jorgen Heizenberg
Principal Technology Officer BI Domain
3/17/2010, San Francisco
© 2009 Capgemini. All rights reserved

3. Organizations must put exploiting information at the heart of the way they do business
‘Traditional’ Approach
Application & Process centric – information is often an after-thought
Technology
People
Process
‘New’ Approach
People
Technology
Process
Information
Information-centric – information across people, process & technology
Putting the I back in IT 3

4. Business Information Management Enables the Intelligent Enterprise
The term “Business Intelligence” does not adequately describe the market or opportunity for Information. The real opportunity includes:
Business Intelligence +
Data Warehousing / Data Integration
Enterprise Performance Management
Enterprise Content Management & Portals
Master Data Management
SOA/Information Architecture =
Business Information Management
‘Traditional’ Approach
Application & Process centric - Information perspective is often an after thought – reporting and analyzing the past
Technology
People
Process
People
Process
Information
Technology
Intelligent Enterprise
Information-centric view across people, process and technology to support better decision making for all SBU’s

5. Business Information Management Enables the Intelligent Enterprise
To:
Proactive Management
Consistently, Smarter Better Decisions – Foresight
Real Time Information “Cockpit”
Enterprise Information Architecture/ Management
Information is trusted
“Real Time” Product Customization
Analytical Excellence is a business asset
Managers Empowered and Auditable
Compliance as business as usual
WHY - Service Based Business
Performance Optimized
Move From:
Reactive Management.
Intuitive Leaps vs. Fact Based Decisions – Hindsight
Management by Spreadsheet.
Data bases (customer, supplier, risk) and Document/Knowledge repositories
Interventions in product design process
Data is an IT problem
Innumerate managers
Compliance as an overhead
WHAT - Processes and Functions
Management by Exception
Expected
Proactive
Reactive
High
Organizational
Response
Transformational
Capability
Low
Today
Hindsight
Management
Foresight
Management
© 2007 Capgemini - All rights reserved 5

6. Business Intelligence Mega Trends5 1
Industrialization
Increase BI
Interactive
Insight 4 2
Integration 3
© 2009 Capgemini. All rights reserved
© 2009 Capgemini. All rights reserved

7. Increase BI must be able to cope with: Increase in Data (size)
Increase in speed (real time)
Increase in business value
Increased impact of BI which requires business case i.s.o. just implementing
Business driver:
Faster decisions and more analysis
Definition: To become greater or more in size, quantity, number, degree, value, intensity, power, authority, reputation, wealth; to grow; to augment; to advance; opposed to decrease

8. Insight BI will continue to become:
More intuitive (less end user involvement)
Showing an increase in advanced visualizations (in dashboards)
More analytic (more end user involvement) and predictive modeling
Self Service BI
Technology driver:
Better tools allow for different way of working
leading to understanding
Definition: The clear (and often sudden) understanding of a complex situation

9. Integration Business Intelligence will integrate:
With operational processes
And be more aligned with strategy
Unstructured data
Acquired vendors in the BI suite (niche)
Leading to interest in Open source
With other business applications or ERP
Resulting in redefining DWH architectures
Business driver:
More integration
Definition: The act or process of making whole or entire

10. Interactive BI will be more: Event driven
A dialogue between system and end users
About sharing information (collaborative) within performance networks
Able to further personalize (mash ups)
Technology driver:
More powerful tools and process integration
Business driver:
Allows for different way of working
Definition: Capable of acting on or influencing each other

11. Industrialization BI development will be characterized by
A more industrialized approach using standard development frameworks opening up the possibility to outsource
Focus on Data Quality, Master & Meta data
Documenting processes (BPM)
Growing interest in SAAS
Business driver:
Demand for more efficient ways to unlock data
Definition: The development of industry on an extensive scale

12. Business Intelligence Sub Trends
SAAS
BI As A Service
Outsourcing
Real time
DWH Appliances
In memory
Salesforce.com
Capgemini 5 1
Teradata
Netezza
Powerpivot
Industrialization
Increase
Social Media
Web 2.0
Perf.Netw.
Analytics
Visualization
Self Service BI
Far Isaac
GapMinder
Qlikview
Twitter
Google
Swivel
Many Eyes
Enterprise
Unstructured
Vendor Consol.
Open Source
Operational process
Interactive
Insight 4
Pentaho,
Jaspersoft
IBM, Oracle,
SAP 2
Integration 3
© 2009 Capgemini. All rights reserved
© 2009 Capgemini. All rights reserved

14. Paradox Demand & Supply More BI, Less BI
Economic slowdown will continue to dominate the BI market this year
As BI is still often executed within IT it will be affected by lower IT budgets leading to a decreased information supply
At the same time the business demand for information will increase as uncertainty grows
Solutions offering cost cutting will be the number 1 objective for both business and IT

15. Rationalization From best of breed towards one BI
Rationalization of BI toolset
No more major vendor acquisitions
Small companies with niche technology
Further integration of acquired technology
Vendors focus on marketing & Sales
System Integration:
Demand for (system) Architecture advice

16. Mastering & Governing Core Data
Single view of all enterprise data
Multi dimensional steering model
Demand for Master Data Management
Revival of OLAP
System Integration:
Need for MDM implementation strategy

17. Different Architectures
Faster answers and decisions
Connect & Share Information
New standards for BI architecture
Datawarehouse appliances
Cloud computing
Open Standards
Service Orientation
Cost cutting hardware
System Integration:
Need for architecture
New delivery models
Help implementing Technology

18. Operational Excellence
Cheaper delivery of new information products
More cost effective ways for maintenance
IT departments will focus on Operational Excellence
Innovation will not originate from the IT department
System Integration:
New functionality with proven methodology
Industry templates
Increased interest in outsourcing

19. Customer Centric
Reduce service to cut costs or expand service to attract new or more profitable customers
Focus on most profitable customers
Find less profitable customers and decrease retention activities
Attract new customer by providing new products, better propositions or better service
System Integration:
Need for Customer Intelligence or analytics

20. Using Data: Right time BI
Reporting is a commodity
Operational monitoring increases ( BAM and Rules Based Decision Engines)
Classic BI infrastructure supports business need for information
New ways of accessing data (mobile)
Most added value will be in Analytics combining data mining, statistics and business knowledge to analyze current and historical performance to predict the future
System Integration:
Skilled Resources

21. Overcome Differences Cost versus benefit : Return-on-intelligence
IT versus Business: BICC
Finance versus the rest
System Integration:
CFO for new BI initiatives
CIO for maintenance of current

22. Transformation
Increasing need for information to support organization transformation
Integration of Business Intelligence and Enterprise Content Management with semantic web or google like solutions
Self Service
System Integration:
Business driven IT
Integration of BI and ECM

23. Cooperation Connect (knowledge workers) Share (information)
Stimulating business innovation
Open markets of information
Self service solutions
System Integration
Solutions based on services
Data governance and security

24. Summary Rationalization: Less BI products and focus on 1 vendor
Mastering core data: Need for a single view of the enterprise
Different architectures: Faster answers with more data
Operational Excellence: Cost effective ways for delivery and maintenance
Customer centric: Focus on finding and keeping (profitable) customers
Using data: Right time, More value (Analytics)
Overcome difference: ROI, IT & Business alignment, Finance leads
Organizational transformation: Reduced time to information and contextual data to enable transformation
Need for cooperation: Connect & share to fight economic downfall and stimulate innovation
Solutions offering cost cutting will be the number 1 objective

25.
Jorgen Heizenberg
Principal Technology Officer BI Domain
Capgemini Netherlands
Papendorpseweg 100 Tel. :
PO Box GN Fax :
Utrecht Mobile :
The Netherlands
© 2009 Capgemini. All rights reserved