Dusting Your Data for Fraud’s Fingerprints (On-Demand Webinar)


CPE Credit: 2 
Course Level: Intermediate
Prerequisite: A working knowledge of Excel and familiarity with basic statistics


Description:

Fraudsters think that they won’t get caught because they are unique and smart and because nobody’s looking. However, case after case shows that they use the same types of schemes over and over. Whether anybody's looking is under your control.  


Focusing on occupational fraud and bribery (and a dash of financial statement fraud), this on-demand webinar will dissect the six common number patterns that fraudsters unknowingly use in their deceptions. These patterns include round numbers, rapidly rising numbers, threshold numbers, non-Benford numbers, duplicate numbers and outlier numbers. For each number pattern type, we will review one or more fraud cases that used that pattern, and how the pattern could be detected in real data using Excel and another forensic analytics program widely known and used.  


All of the examples will be from recently prosecuted cases including the college admissions scandal and the COVID-related frauds currently being prosecuted. 



You Will Learn How To: 

  • Identify the implications of Benford’s law in fraud examinations 
  • Determine how different types of numbers factor into fraud schemes
  • Recognize applications of data analytics in identifying fraud schemes

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Webinar Information:

SPEAKER:

USER-ADDED IMAGE

MARK J. NIGRINI, PH.D.

ACCOUNTING FACULTY, COLLEGE OF BUSINESS & ECONOMICS
WEST VIRGINIA UNIVERSITY
 


CPE Information:

PRESENTER: MARK J. NIGRINI, Ph.D

RECORDING DATE: AUGUST 31, 2021

DURATION: 100 MINUTES



ADVANCED PREPARATION: NONE

FIELD OF STUDY: AUDITING

LAST UPDATED: SEPTEMBER 2021

DELIVERY METHOD: QAS SELF-STUDY

ACFE On-Demand Webinar Courses Feature:

24/7 access to courses through your Internet browser
Save time and quickly earn CPE credits with Instant access, grading and printable certificate
The flexibility to start or stop a course and pick-up right where you left off
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System Requirements:

Internet access: High-speed connection recommended

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Speakers required for video sound