Integrating Advanced Data Analytics to Identify Rogue Employee Behavior (Webinar Archive)

2012 Webinar Image  CPE Credit: 2
Course Level: Intermediate
Prerequisite: An understanding of data analytics as it relates to fraud detection and examination





New innovations in text mining, data visualization, statistical and sentiment analysis are assisting companies with proactively identifying rogue employee behavior. From insider trading, sales force monitoring, data protection and global corruption, companies are taking this risk-based, targeted approach to focusing their investigative and compliance monitoring efforts. In this course, learn how leading companies are integrating new anti-fraud analytics into their internal audit, investigation or compliance work programs.


You Will Learn How To: 


Recognize current global trends in the fraud and corruption risk landscape

Determine how text mining, data visualization and statistical analysis is changing the way we look for suspicious transactions, vendors and employees

Identify red flags of fraud encountered in data mining

Identify key methods of detecting fraud via data analytics


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Presenters: Vincent Walden, CFE, CPA
Recording Date: July 26, 2012
Duration: 100 Minutes 

field of study: Specialized Knowledge 

Last Updated: January 2017


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