For government professionals with a full time focus on fighting fraud, intelligence is invaluable. Although direct financial losses from fraud can vary significantly from one industry to another or in different parts of the world, the annual costs of fraud are substantial and the benefits of reducing it are very real. The problem is not that there is too little information, but too much - and most of it in disparate pipes and silos. Manual processes to aggregate, correlate and analyze this information are costly in terms of both time and resources, and often result in human error and crucial missed connections. Next-generation solutions for predictive analytics are solving the "big data" challenge, and are providing enterprises with the visibility and intelligence they need to move from post-incident forensics to a more proactive and predictive approach to fighting fraud. Download this paper to learn more.
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