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PayPal chief scientist on cracking the code for big data analytics
This article is part of the CIO Decisions issue of November 2012, Vol. 17
PayPal Inc.'s data comes in torrents. Embedded in it is everything the business wants to know about the merchants and buyers who transact sales using PayPal's systems. The question is how to use big data analytics to get at that information. Mok Oh, chief scientist, PayPal Inc. Mok Oh, PayPal's chief data scientist, has the job of extracting the psychological underpinnings of this transactional data for the San Jose, Calif. electronic payments provider. His data set is insanely large. His goal is to match vendors and buyers better in order to maximize the likelihood of a transaction -- in other words, to help PayPal make money. In a wide-ranging SearchCIO.com Trailblazer interview, Oh talks about the state of big data analytics. He actually is trying to fathom the human subconscious by looking at who buys what, when and why. This data is so useful, he believes, that sooner or later all companies will want a piece of it but it won't come cheap. What do you do at PayPal? Mok Oh: My title is chief scientist. For me, that means ...
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News in this issue
IT executives offer insights into how they are managing network capacity in light of the mobile IT influx.
Sanctioned or unofficial, mobile devices put pressure on enterprises' network capacity. Different approaches are helping CIOs reduce the strain.
A chief information architect is handed a challenge: build an enterprise social network for the best brains in the world.
Read how University of Nebraska CIO Walter Weir pulled off a massive email cloud migration with relative ease.
PayPal's Mok Oh says big data analytics will have arrived when people like him aren't needed.
Columns in this issue
IT users are now really consumers, and providing them with the technology they crave is the fast path to divining and satisfying customer needs.