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"Creating green field opportunities for customer analytics through on-line experience" - a presentation by The crazy Colombian at IAPA's "Customer Analytics 2009" conference
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"Creating green field opportunities for customer analytics through on-line experience" - a presentation by The crazy Colombian at IAPA's "Customer Analytics 2009" conference

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In this talk, I present some new ideas on how the analytical field is being transformed by the development and maturity of social media and the Internet.

In this talk, I present some new ideas on how the analytical field is being transformed by the development and maturity of social media and the Internet.

Published in: Business, Technology

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Transcript

  • 1. Creating green-field opportunities for customer analytics through on-line experience
  • 2. Today’s agenda
    • Recent evolution of the internet
    • The Analytical process
    • Greenfield opportunities in customer analytics
  • 3. The internet is changing at an ever-increasing pace
  • 4. The 3 emerging engines of change in today’s online world M1 Massive processing M2 Massive communications M3 Massed minds
  • 5. Massive power + storage = more data than ever before
  • 6. Massive communication power has created an explosion of social networks
  • 7. Whilst massed minds have enabled scalable pattern recognition
  • 8. Today’s agenda
    • Recent evolution of the internet
    • The Analytical process
    • Greenfield opportunities in customer analytics
  • 9. The five stages of a customer analytics project 1. CONCEPTUAL 2. PROBLEM STRUCTURING 3. DATA PREPARATION & EXPLORATION 5. RECOMMENDATIONS & DEPLOYMENT 4. ANALYSIS & MODELING
  • 10. Analysts can now tap into new streams of data for analysis…
  • 11. … and leverage distributed networks for crowdsourcing analytics
  • 12. Today’s agenda
    • Recent evolution of the internet
    • The Analytical process
    • Greenfield opportunities in customer analytics
    Today’s agenda
  • 13. Opportunity # 1 : Predicting movies box-office revenue with Search data
  • 14. A simple yet powerful model predicts revenue with accuracy…
  • 15. … and performs well even after introducing a time-lag
  • 16. Opportunity # 2: Leveraging the crowd
  • 17. a Case study : Predicting book sales in the first 15 weeks of release
  • 18. Case study: Predicting uptake of new products in financial services