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@aw eigend aweigend@stanford Andreas Weigend weigend

@aw eigend aweigend@stanford.edu Andreas Weigend www.weigend.com. New Course Spring Quarter Social Data and E-Business. MS&E 237 (formerly Statistics 252) 3 Units Tue Thu 4:15 PM - 5:30 PM More info at www.weigend.com facebook.com/ socialdatarevolution.

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@aw eigend aweigend@stanford Andreas Weigend weigend

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  1. @aweigend aweigend@stanford.edu Andreas Weigend www.weigend.com

  2. New Course Spring QuarterSocial Data and E-Business • MS&E 237 (formerly Statistics 252) • 3 Units • Tue Thu 4:15 PM - 5:30 PM • More info at www.weigend.com • facebook.com/socialdatarevolution

  3. Thesis 1:Move fromE-BusinesstoMe-Businessto We-Business

  4. Thesis 2:Bridge thePhysical and the Digital

  5. Thesis 3:The SDR changes (almost) everything

  6. Thesis 4:Helpyourcustomersmake betterdecisions.They are smart.

  7. ConnectingComputers

  8. ConnectingPages

  9. ConnectingPeople

  10. Underlying?

  11. Data • The amount of data created by each person doubles every 1.5 … 2 years • □ after five years  x 10 • □ after ten years  x 100 • □ after twenty years  x 10000

  12. The Next Big Thing Colin Harrison 1996

  13. 1 billion connected flash players

  14. 40 billion RFID tags worldwide

  15. Pay-as-you-drive car insurance (GPS)

  16. Integrated Media Measurement Inc • IMMI • Listening into your room • every 30 seconds, • for 10 seconds.

  17. Time Scales “Real Time”: ~h? m? s? Biology: ~100k yrs Data, Technology: ~1year Social Norms: ~10 years

  18. 99% DNAoverlap

  19. Abundant? Scarce?

  20. http://www.skout.com | http://www.boyahoy.com

  21. Social Data Revolution How the Changes (Almost) Everything

  22. Social Data = Shared Data 15 billion ................ pieces of content shared per month

  23. Purpose of communication:to transmit information? Or is information justan excuse for communication?

  24. 100+ million users per day 350+ million uniques January 2010 40 minutes avg per user per day < 1 cent per user per day

  25. Social Data = Shared Data 20 hours of videos uploaded every minute

  26. Social Data = Shared Data 1 billion videos watched per ..... day

  27. Outline

  28. C2B Part I:

  29. +1 800-4-SCHWAB

  30. Imagine... • You knew all the things people here have bought • You knew all of their friends • You knew their secret desires ... what would you do?

  31. 3 Myths about Decision Making • 1. People know what they want • 2. People know what’s out there • 3. People know what they will actually get

  32. Customers whoboughtthis item alsobought…

  33. Customers whoviewedthis item alsoviewed…

  34. Customers whoviewedthis item ultimately bought…

  35. Amazon.com helps people make decisions… … based on clicks and purchases

  36. How do you know peoples’ secret desires?

  37. Data Sources • Attention • Transactions • Clicks • Intention • Search • Situation • Location • Device

  38. Business Customers

  39. C2C Part II:

  40. C2C = Customer-to-Customer • Customers share with each other

  41. Amazon.com Share the Love

  42. Amazingconversion rates since you chose: Content (the item) Context (you just bought that item) Connection(you ask Amazon to email your friend) Conversation (information as excuse for communication)

  43. Connecting People

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