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How to Use a New Computer Audit to Prevent and Detect Fraud

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Copyright © 2004 Information Systems Audit and Control Association. All rights reserved. www.isaca.org.

How to Use a New Computer Audit Fraud Prevention and Detection Tool
By Richard B. Lanza, CPA, PMP

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hile occupational fraud takes various forms, the result is always the same: the numbers generated by fraud cannot hold up to the unfailing logic of the accounting equation. If executives add false sales and accounts receivable to increase the organization’s revenue, profits and cash will be out of kilter. The advancement of technology has allowed for this “accounting equation” to be systematized into computer logic and applied to company data.1 Results of this logic could take the form of a simple matching of the human resource file to the accounts payable vendor master file. On the other side of the coin, it could be an advanced neural network application focused on detecting money laundering schemes. Whether it is simple or advanced, data analysis provides many benefits in the prevention and detection of fraud. On one hand, the fraud examiner gains insight on 100 percent of an organization’s transaction data vs. more limited manual methods of selection. Further, this approach can generally be completed in less time than manual procedures, given the automation of the work. Examiners also gain improved business intelligence as the generated reports often lead to conclusions beyond whether just fraud occurred. Such new insights can lead to suggested process improvements to the client. The Institute of Internal Auditors (IIA) Research Foundation recently announced the posting of a free online document to help fraud examiners worldwide use computers to fight fraud. Proactively Detecting Occupational Fraud Using Computer Audit Reports, written by the author of this article, is designed to assist fraud examiners and management in implementing data analysis

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