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"We have built a model that can predict with 75% accuracy the likelihood that a home will sell in the next 30, 60 or 90 days," says Scott Bailey, EVP of strategy and analytics for Target Data, a marketing firm that combines big data and analytics to help businesses target consumers during the major life event of moving."
Luca Naso's insight:
We are just applying the same principles used in CRM systems to houses as opposed to consumers.
By matching geo-demographic scoring with listing data, we were able to better leverage the money PODS was spending on direct marketing throughout the year, not just during the traditional peak season. What happened ten years ago is important, but now taking into account what happened yesterday (even earlier today), is what I see really driving predictive models in the next decade. 
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Big data analysis for real estate will make clear way for achieving bigger dreams.