Using data analysis to detect fraud is changing the way many businesses operate. It’s also changing how forensic accountants do their jobs, providing fraud experts with the means to mine massive mounds of data like never before. USING DATA ANALYSIS TO DETECT FRAUD: 3 TECHNIQUES These analytical techniques are among the most efficient and effective at detecting occupational fraud: (1) Association analysis This method can help identify suspicious relationships by quantifying the odds of a combination of data points occurring together. In other words, it calculates the likelihood that, if one data point occurs, another will, too. If the combination occurs at an atypical rate, a red flag goes up. For example, association analysis might find that a certain supervisor tends to be on duty when inventory theft occurs. (2)...
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Jul 2019
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