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Predictive analytics are a powerful tool for detecting more insurance claims fraud with greater certainty, helping insurers contain losses while streamlining claims processing and making claims review more productive. How much value analytics deliver, however, depends on how effectively they are used. The challenge is for insurers to know at what point they are getting the desired ROI—how much fraud is being uncovered, how much loss avoided, how much time saved. This white paper sets forth a methodology for determining the optimal use of predictive analytics in claims reviews to protect against fraud.
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