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What’s the point of all that data, anyway? It’s to make decisions.
To read their futures, young people mine a database of 259 million résumés.
A company founded by database engineers helps retailers figure out the likeliest way to get people to buy things.
A company that runs hospitals and clinics puts its people to work more effectively after software points out patterns in a huge pool of data.
DARPA-funded technology from Proximal Labs is among the new tools that can help companies gain insights about their customers.
A startup analyzes tweets, patents, and lots of other data in the hopes of identifying the next big thing.
Internal prediction markets enable colleagues to wager on the fate of crucial projects and the success of products in the pipeline.
Using sophisticated math and vast amounts of data, predictive analytics software can help forecast and influence purchasing behavior. So why aren’t more companies using it?