Claims Fraud: A Big Opportunity for Big Data & Analytics

By Mohan Babu and Soumya Chattopadhyay, Infosys | July 29, 2013

  • July 30, 2013 at 4:39 pm
    DataH says:
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    Very insightful article. As you mentioned HPCC Systems, at LexisNexis Risk Solutions we are actively engaged in using the open source HPCC Systems data intensive compute platform along with the massive LexisNexis Public Data Social Graph to tackle everything from fraud waste and abuse, drug seeking behavior, provider collusion to disease management and community healthcare interventions. We have invested in analytics that help map the social context of events through trusted relationships to create better understanding of the big picture that surrounds each healthcare event, patient, provider, business, assets and more.

  • August 12, 2013 at 4:25 pm
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    Very interesting information on the use of Big Data and analytics in P&C insurance but what do Snapshot: Case Studies #1 and #2 have to do with Claims Fraud? They seem unrelated to the title, unless I am missing something here. Thanks.

  • October 7, 2015 at 3:56 pm
    Sumita Prasoon says:
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    This article was very helpful for me. I am more excited to see that this one is from Mohan Babu. I know him from cognizant. Its great to have such knowledge from him

  • June 8, 2016 at 2:54 pm
    rajesh goyal says:
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    Nice article. I didnot realize it has been written by Mohan Babu until I read one of the comment.
    Article is well written and very informative.

  • June 17, 2016 at 8:28 am
    abrham Worku says:
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    nice one, am a student in Ethiopia and am working on big data for detecting vehicle insurance fraud so how can get free data about insurance claim,, can you help me on it!



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