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ANALYTICS Deepak Agarwal MDI Gurgaon
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What leaders say about Analytics
Analytics. What’s this ?
Analytics in a Nut Shell
Analytics in a Nut Shell
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
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
Accenture Survey Results
Past, Process, Predict
Some Analytical Capabilities
Innovative Technologies’ Importance Source: Hurwitz & Associates
Technologies’ Applications Source: Hurwitz & Associates
Analytics’ Applications Algorithm
Some fields of Applications
Association & its Roles
Vendors
Players & Performance Source: Hurwitz & Associates
Market getting crowded each day… Source: Hurwitz & Associates
Recent Acquisition Trends
Recession
Future
References ,[object Object],[object Object],[object Object],[object Object],[object Object]

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