Traditionally, insurance fraud detection strategies focus onidentifying fraudulent claims once the claim has been paid to theclaimant.

It is easier to mitigate the losses, however, when the fraud isidentified before the claim is paid.

With the advancement in computing and data analytics, it is now possible to adopt apredictive approach to fraud detection. As a result, insurers areturning to data-driven fraud detection programs aimed atprevention, detection, and management of fraudulent claims.

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