1. Building a BI Solution Leveraging Analytical Reporting Arunachalam T, IM Group, SETLabs, Infosys.

2. 2 Speaker Profile – Arunachalam Certifications: Dr. Bill Inmon certified CIF Architect TDWI Certified Business Intelligence Professional (CBIP) DAMA Certified Data Management Professional (CDMP) TOGAF 8 certified Enterprise Architect Thought Leadership: BI Consulting Methodology, B-eye-Network IM – Key for creating Business Value, TDAN Convergence of BI and Search, Information-Management.com

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4. 4 Analytics – The Buzz Word

5. 5 Analytics – An Enabler Analytics is the science of analysis. - Wikipedia.

6. 6 Analytics vs. Analysis AnalyticsAnalysis AnalyticsAnalysis AnalyticsAnalysis

7. 7 Analytics vs. Analysis Analysis ToolsKnowledgeExperience Interactive Features Analytics

8. 8 Evolution of Analytics Capability

9. 9 Levels of Analytical Reporting

10. 10 Analytics – Maturity Model

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12. 12 Components of Analytics Application

13. 13 Characteristics of Analytics Application

14. 14 Development Approaches

15. 15 Packaged Analytics Courtesy: Wayne W. Eckerson, Beyond Reporting, TDWI Best Practices Report, Third Quarter 2009, p 17.

16. 16 Analytics is part of Larger System

17. 17 Challenges Following are some of the challenges faced by the businesses today : Creates a stove-piped system/ information silo Requires rare skill sets – statistical analysts, miners and predictive modelers Lack of standard analytical tools/ approaches across organization Data requirements of Operational, Tactical & Strategic Analytics are complex Resource Intensive – CPU, RAM, I/O Data movement from operational & DW systems to ADM can hog bandwidth.

18. 18 Best Practices To overcome the challenges, enterprise can follow best practices including : Perform user defined analytical functions (UDFs) at DB level/ In DB Analytics Migrate from RDBMS to ADBMS – columnar database Embrace 64 bit OS and MPP architecture Adopt in-memory storage/ query processing Leverage technological advancements such as clustering, grid computing Familiarize yourself with analytics frameworks such as MapReduce, Hadoop Plan for soft data/ text analytics.

19. 19 Q & A