: data strategy :
Posted on 02-05-2010
Filed Under (audio, teaching) by aweigend

We are excited that Ashvin Kumar, CEO of Blippy, will join the Social Data Revolution class this Thursday May 6, 2010. In preparation to what I expect to be a great discussion on the future of creating and sharing purchasing data, Dan Goodwin, Rob Cosgriff , and I created a 17-min mp3 with our thoughts on the game changing nature of the service. Please leave your comments here or on our facebook.com/socialdatarevolution page before class.

And here, added right after class, is the unedited 1h17min mp3 (72MB) of the lively discussion on broadcasting your finances and other taboos with Ashvin Kumar, ending with the longest applause this quarter so far.

PS: Somewhat related, I am giving a talk at the Intuit Innovation conference on May 3, and have put up pdf, pptx, and slideshare. If someone has good experiences liking the audio to the slides afterwards, please let me know.

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This keynote, given on February 19, 2009 at Predictive Analytics World shows how predictive models can benefit from the Social Data Revolution [pptx | mp3]

Abstract:Technology affords companies unprecedented opportunities to interact with customers and employees. In any of these interactions, data is created. Yet most firms neither capture nor fully utilize those data to impact their bottom line and strengthen relationships with their customers. Product recommendations and behavioral targeting are early examples of leveraging new sources of data to predict customer behavior and preferences. The next iteration of these interactions, for example mobile phones, empowers owners to access richer data and discover new opportunities – with the possible inclusion of location data that enables companies to predict mobility patterns for marketing and planning purposes. Learn from the former Chief Scientist of Amazon.com how to create a comprehensive data strategy through:

  • Leveraging the data you’re already collecting, but not using
  • Identifying data that you could and should be collecting
  • Transforming data to next-generation predictive intelligence

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