Business Intelligence on Cloud: A Business Perspective

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TDWI India Chapter 2011 Feb 05 Hosted at Intel, Presentation from K L Mukesh, Tata SKy

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Business Intelligence on Cloud: A Business Perspective

  1. 1. K L Mukesh
  2. 2.  Young company of 5 years; Started with basic performance reports like sales & installations Few months down the line started dealer performance reporting Started measuring Call center performance Started with ROI reporting Supposed to generate 25-30 reports; Number of reports and dashboard growing by the day ETL challenges – technically feasible, cost and time an issue
  3. 3. Reports InformationData Knowledge Actions Insights
  4. 4. Selected one of the vendors for BI, considerationswere• Speed to Market – Few weeks, rather than manymonths• Lack of internal expertise in BI• Drastic fluctuations in end user requirements• Disparate set of metadata within the enterprise• Predictive Modeling
  5. 5. Upside: Data Transfer to cloud (Vendor location) streamlined in weeks Started with Customer Analytics Moved to Predictive modeling End to end integration – analytics to call center for actions back to analytics for performance tuning ARPU significantly above industry average Downside: Scaling horizontally across functions a challenge;
  6. 6.  Small applications with highly distributed users moving to the cloud – dealer services, managing field services Data mart / performance dash boards associated with these applications a natural fit BI on cloud will follow transaction based systems on cloud; Easy BI access to distributed users; Enterprise view a challenge. Hopefully architecture will evolve over time
  7. 7.  Large data set options where time lag acceptable being explored. ◦ Customer profiling ◦ Churn prediction ◦ Campaign performance ◦ Processing capacity intensive – statistical modeling Loading data once in a fortnight acceptable. Significant capacity requirement variation Data moved using physical medium
  8. 8. APPLICATION SIZET SMALL LARGEUR REALN TIMEA Yes NoROUND TAKE Yes YesT YOURI TIMEME
  9. 9. Thank You

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