Detecting Corruption with Analytics: A Roadmap By Richard B. Lanza, CPA, CFE, CGMA
Published June 01, 2017 00:24
The Association of Certified Fraud Examiners (“ACFE”) classifies corruption into four schemes: (1) bribery, (2) illegal gratuities, (3) economic extortion, and (4) conflicts of interest. Corruption is essentially the abuse of entrusted power for private gain; it uses a company as a tool for personal gain which is contrary to the official or fiduciary duty of the organization.
Companies serious about reducing fraud within their walls need to recognize that regardless of their size and type, corruption is one of the most pervasive and impactful fraud types. It can occur in any department/division making purchases or from the other side of the business transaction in the company sales cycle.
Why use analytics to assist in proactively detecting corruption?
All materials contained on this site are protected by United States copyright law and may not be reproduced, distributed, transmitted, displayed, published, broadcast, performed nor used to prepare derivative works, without the prior written permission of AuditNet®. You may not alter or remove any trademark, copyright, logo or other notice from copies of the content. For further information, see section 1 of the Terms and Conditions and section 2 of the Subscriber Access Agreement.