The use of data analytics is a powerful fraud prevention, detection and investigation tool, and an important part of an effective and holistic fraud risk management program. According to the ACFE’s 2016 Report to the Nations, organizations that use proactive data analytics report fraud losses that are 54% lower than organizations that do not use data analytics as an anti-fraud control.
The interactive tool below provides you with numerous data analytics tests that can be used to help identify the red flags of various occupational fraud schemes. This tool is based on the structure of the ACFE’s Fraud Tree. You can drill down to a specific scheme type and see data analytics tests that are relevant to that fraud risk.
The ACFE would like to thank EY for their help and development of the Data Analytics Tests interactive tool.
The ACFE would also like to thank David Coderre for his contributions to the data analytics tests included in the interactive tool.