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CU1916
How Forensic Data Analytics Can Help Identify Fraud and Mitigate It’s Risks
Date
October 22, 2019
$49
Standard Price
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This includes sessions from the conference: Conference on Credit Unions 2019
Fraud is difficult to identify, and forensic data analytics can often help.
This session will discuss how forensic data analytics can be used both proactivity and reactively to better identify fraud risk. It will show the power of data analytics using both proactive and reactive case studies. We will introduce a method to apply data analytics, demonstrate capability and explain how the data analytics methodology can be used to efficiently and effectively identify risk.
Learning Objectives
- Highlight the importance of utilizing a multi-faceted team for the strategic application of Data Analytics
- Reactive application of Data Analytics: case study on wire fraud
- Proactive application of Data Analytics: case study on techniques to apply to multiple populations to address risk
Speakers
Bryan W. Mogensen, CPA
Principal, Financial Services Group, CLA
Ryan Merryman, CPA/CFF/CITP, CFE
Principal, Data Analytics, CLA
General
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