Analytics
- 1. ANALYTICS Deepak Agarwal MDI Gurgaon
- 2. Agenda Views on Analytics What is Analytics Evolution Relevance Process Capabilities Technologies Applications Associations Vendors & players Present & Future
- 3. What leaders say about Analytics
- 5. Analytics in a Nut Shell
- 6. Analytics in a Nut Shell
- 7. Text Mining - Analytics Evolution Evolutionary Step Business Question Characteristics Data Collection (1960s) What was the total sales in the last 5 years? Retrospective, static data delivery Data Access (1980s) What were the unit sales in India in November? Retrospective, dynamic data delivery at record level Data warehousing & decision support (1990s) What were the unit sales in India in November? drill down to US ? Retrospective, dynamic data delivery at multiple levels Data mining (emerging today) What’s likely to happen to India sales next month and why? Prospective, proactive information delivery
- 8. Relevance: Why & Where Why Where Burgeoning field Business intelligence applications Massive data Huge easily available data Powerful computers Articles, Abstracts, Books, Memos Data Mining softwares Blogs, Reviews, Discussion Boards
- 12. Innovative Technologies’ Importance Source: Hurwitz & Associates
- 13. Technologies’ Applications Source: Hurwitz & Associates
- 15. Some fields of Applications
- 16. Association & its Roles
- 17. Vendors
- 18. Players & Performance Source: Hurwitz & Associates
- 19. Market getting crowded each day… Source: Hurwitz & Associates
- 21. Recession
- 22. Future
- 23. References Competing on Analytics, Thomas H. Davenport, Don Cohen & Al Jacobson, May 2005 The imperative of Analytics, Greg todd, Information Management Magazine, Mar 2, 2009 http://fbhalper.wordpress.com/2008/06/12/four-questions-about-innovations-in-analysis/ http://www.analyticsevolution.com/2009/07/forrester-wave-just-facts-please.html http://it.toolbox.com/blogs/crm-realms/will-banks-drag-bi-down-into-a-recession-28514