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

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

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

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

Business Intelligence Mega Trends 5 1 Industrialization Increase BI Interactive Insight 4 2 Integration 3 © 2009 Capgemini. All rights reserved © 2009 Capgemini. All rights reserved

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

http://capgemini.com/services-and-solutions/challenges/business-information-management/overview/ http://www.biguru-online.com/ http://www.b-eye-network.com/blogs/heizenberg/ Jorgen Heizenberg Principal Technology Officer BI Domain Capgemini Netherlands Papendorpseweg 100 Tel. : +31 30 689 57 28 PO Box 2575 3500 GN Fax : +31 30 689 95 19 Utrecht Mobile : +316 150 308 00 The Netherlands e-mail : jorgen.heizenberg@capgemini.com © 2009 Capgemini. All rights reserved