Integrating Advanced Data Analytics to Identify Rogue Employee Behavior

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.


What you will learn: 


The global fraud and corruption risk landscape

The four key elements of effectively integrating forensic data analytics into an anti-corruption program

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


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

field of study: Specialized Knowledge 

Last Updated: July 2014


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Please note: To be eligible for CPE credit, you must complete the final exam within one year of purchase date. You may only claim CPE credit for a course once.