Using Data Analytics To Detect Fraud

Using Data Analytics To Detect Fraud

CPE Credits: 16

Jakarta, Indonesia | December 4-5, 2017

According to the ACFE’s 2016 Report to the Nations on Occupational Fraud and Abuse, proactive data monitoring and analysis is among the most effective anti-fraud controls. Organizations which undertake proactive data analysis techniques experience frauds that are 54% less costly and 50% shorter than organizations that do not monitor and analyze data for signs of fraud.

Using Data Analytics to Detect Fraud will introduce you to the basic techniques of uncovering fraud through data analysis. Taking a software-independent approach, this two-day course provides numerous data analytics tests that can be used 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.

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2017-10-11T14:09:55+00:00 October 11th, 2017|
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