Global Benchmark The Role of Data Analytics for Internal Fraud Detection

According to the findings in the Ernst & Young Global Forensic Data Analytics Survey 2016 and 2016 ACFE Report to the Nations on Occupational Fraud and Abuse, C-level executives are increasing the use of forensic data analytics (FDA) to address current and emerging risks, including internal fraud (travel & entertainment abuse, collusion,etc.).


For the purpose of this document, we’ll refer to FDA as the examination of structured data (e.g., transaction, employee and/or customer data) to analyze, detect, correct and prevent fraudulent activities or patterns that may lead to non-compliance.

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