According to the ACFE's Occupational Fraud 2022: A Report to the Nations, proactive data monitoring and analysis is among the most effective anti-fraud controls. Organizations that undertake proactive data analysis techniques experience frauds that are 47% less costly and less than half as long in duration as organizations that do not monitor and analyze data for signs of fraud.”
The Detecting Fraud with Data Analytics Workshop will teach you how to plan, design, and apply numerous data analytics tests in order to detect various fraud schemes. You will also discover how to examine and interpret the results of those tests to identify the red flags of fraud.
The first day of the course will provide a solid foundation on which to build your data analytics initiatives, from understanding the types of tests that can be used to tying your tests to the fraud risk assessment, properly preparing and normalizing your data for testing, and effectively communicating the results of your analysis. On days two and three, you will link your new knowledge of analytical tests, data sources, and fraud schemes while applying data analysis techniques to real data sets and scenarios.
Bring your own laptop and the software you are most comfortable with,* and practice using data analytics to uncover the red flags of fraud. You will work through cases covering a variety of fraud schemes, including purchasing fraud, payroll manipulation, and financial statement fraud.
* Practical exercises can be conducted in Microsoft Excel, Galvanize, IDEA, or Tableau. In order to participate in this workshop, attendees will need to bring one or more of these software programs fully installed and ready to use on their own laptop. Technical support for installing and running these programs will NOT be provided.
Working knowledge of basic functions in one of the following software programs: Microsoft Excel, Galvanize, IDEA, Tableau.