Cases of fraud are deeply hidden within the mass of accounting data in a business. Usually, only a great deal of effort will bring them to light. In the Fraud Analytics manual, we cover how to find fraud – through the analysis of fraud symptoms and the use of data analysis techniques, such as Benford’s Law, break-point analysis, cross-matching, outlier analysis, and pattern analysis.
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