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Analytics in Action: Fraud

Using advanced analytics to combat fraud, corruption, waste and abuse

Although organizations generate, retain and analyze more information now than ever before, key data indicative of illegal or abusive schemes is often hidden under layers in various forms, and therefore, becomes difficult to detect by traditional means. In regard to corporate crime detection in particular, the ability to reveal relationships, communications, locations and patterns can make the difference between allowing a scheme to continue or uncovering and stopping it.

In response to the growing need to prevent fraudulent activities, companies have begun turning to advanced analytic techniques and tools to detect and reduce corruption, fraud, waste and abuse in the enterprise. From money laundering schemes to violations of the Foreign Corrupt Practices Act, from manipulating financial statements by reporting fictitious revenues to understating liabilities, overstating assets, or misusing inventory, graphically representing and exploring such data can bring clarity to the most pressing corporate concerns.

Featured Insights

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Finding the needle
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Caught in the middle
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