Dusting Your Data for Fraud’s Fingerprints (On-Demand Webinar)
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.
A working knowledge of Excel and familiarity with basic statistics
|CPE Credit:||2 Credits|
|Last Updated:||August 2021|
|Delivery Method:||QAS Self-Study|
Mark J. Nigrini, PH.D. - Speaker
Accounting Faculty, College of Business & Economics
West Virginia University
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.
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The Association of Certified Fraud Examiners, Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org/.
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