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Data Mining Research - dataminingblog.com: Data Mining Interview: Eric Siegel
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DMR: Imagine that I can give you any data set by tomorrow. What kind of data would you like mining?
ES: The most predictive data is behavioral data rather than demographic - a person's (customer's, employee's, applicant's, etc.) behavior is best predicted by their prior behavior - what they've *done* rather than who they *are* (a meaningful case against stereotyping, in fact). Give me the transactional history, the online behavior, and the calls to customer service.
This is my wish list, right? So I'll keep going. The data is big, both wide and long. It is wide since there are many behavioral attributes for each individual or customer. And it is long because we have data for many individuals. In my fantasy, we have half a million rows. But, for the record, a few thousand is often enough.
Finally, the data pertains to a prediction goal for which there is a viable deployment scenario that delivers a strong impact for the business. For example, if we're predicting customer defection, there's a lot to be gained for each customer retained, and even more to be gained by targeting retention efforts towards customers predicted to leave.
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