Big Data and Banking – More than Hadoop | @CloudExpo [#BigData]

Fraud is definitely top of mind for all banks. Steve Rosenbush at the Wall Street Journal recently wrote about Visa’s new Big Data analytic engine which has changed the way the company combats fraud. Visa estimates that its new Big Data fraud platform has identified $2 billion in potential annual incremental fraud savings. With Big Data, their new analytic engine can study as many as 500 aspects of a transaction at once. That’s a sharp improvement from the company’s previous analytic engine, which could study only 40 aspects at once. And instead of using just one analytic model, Visa now operates 16 models, covering different segments of its market, such as geographic regions.

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