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CPE Credit: 2
Course Level: Advanced
Prerequisite: An understanding of data analytics
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Description:
The U.S. Postal Service (USPS) Office of Inspector General (OIG) established a Data Mining Group within its Office of Investigations to identify and prioritize probable fraudulent activity in four distinct areas of the Postal Service: contracts, health care, mail theft and finance. The USPS managed more than $33 billion in contracts in FY2009 and the OIG has previously relied primarily on hotline tips for investigative leads. Partnering with Elder Research Inc., the USPS OIG has developed a contract fraud data mining tool by combining advanced data mining techniques, data visualization and subject matter expertise to score all USPS contracts for potential fraud, waste and abuse.
In this course, you will learn how the USPS OIG believes that this promising antifraud tool will also aid auditing, postal business operations and other governmental agencies looking to reduce and minimize fraud, waste and abuse
You Will Learn How To:
Recognize key elements of predictive analytics
Identify challenges in detecting fraud in the workplace
Identify methods and best practices when utilizing data analytics
Recognize how predictive analytics can focus agents and analysts on cases with a higher probability of fraud, waste, or abuse
Identify the categories of fraud indicators
Recognize types of software used to detect fraud
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PRESENTERS: Isaiah Goodall and Gerhard Pilcher
RECORDING DATE: May 30, 2013
DURATION: 100 MINUTES
FIELD OF STUDY: Auditing
Last Updated: September 2016
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Online CPE exam grading available for this course:
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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.