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fraud-rings

Stopping fraud rings

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Analytics are helping governments move to a pre-payment fraud prevention approach, as opposed to the current and ineffective “pay and chase” strategies.

  1. Seven steps to a successful auto insurance scam

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    Insurance scammers

    Auto insurance scams account for an estimated 25% of all auto insurance claims. Delving in to the mind of an insurance scammer is one step to protecting against fraud.

  2. Data visualization meets cyber crime

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    data visualization

    Big data can be a bad thing – if you can’t see the knowledge locked inside. That is particularly important when you are trying to see possible relationships and linkages. Cyber security is an area where data visualization technology would help uncover those linkages in a way that everyone can understand, even those without a statistics degree.

Other Recent Features

  • Left to right: Martha Jane Avstreih-Ross; Ann Woloszynski; James Miller

    Tips for aligning IT with business for big data success

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    When IT execs talk about big data, they say they have to start with baby steps; they have to get buy in from many areas of the organization. Here are some of their tips for getting both IT and executives on board with analytics implementations and data governance policies that will help the organization make the most of data.

  • Six steps to data quality

    Six steps to data quality

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    A lot of what Solvency II addresses is improving transparency across the firm, between the firm and its regulators, and with the customer. SAS recommends these six data quality process steps to support Solvency II initiatives.

  • Data fairies

    Do you believe in the Data Fairies?

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    Do you know how your data gets to your desktop each morning? Do you know where it comes from? The Solvency II directive has made the question of where and how very important to insurers and resurers across Europe.