Preventing Fraud in a Big Data Environment
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Posted by  in Fraud Prevention

Fraud prevention may push the limits of just how big big data can get. To help aid in preventing fraud related to big data, companies must Identify fraud sooner than ever: Real-time detection integrates capabilities into business systems and alerts users to suspicious activity, leading to reduced financial loss. Additionally, companies must improve detection accuracy: Real-time calibration and simulations on large volumes of data minimize false positives. Finally, it is important to prevent and deter fraud situations: Rules and predictive methods can help users optimize their analysis, adapting measures to deceptive patterns and better preventing fraud. Read more about Big Data Fraud Prevention.

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