Praise for Computer-Aided Fraud
Prevention and Detection: A Step-by-Step Guide
"A wonderful desktop reference for anyone trying to move from traditional auditing to integrated auditing. The numerous case studies make it easy to understand and provide a how-to for those?seeking to implement automated tools including continuous assurance. Whether you are just starting down the path or well on your way, it is a valuable resource."
-Kate M. Head, CPA, CFE, CISA
Associate Director, Audit and Compliance
University of South Florida
"I have been fortunate enough to learn from Dave's work over the last fifteen years, and this publication is no exception. Using his twenty-plus years of experience, Dave walks through every aspect of detecting fraud with a computer from the genesis of the act to the mining of data for its traces and its ultimate detection. A complete text that first explains how one prevents and detects fraud regardless of technology and then shows how by automating such procedures, the examiners' powers become superhuman."
-Richard B. Lanza, President, Cash Recovery Partners, LLC
"Computer-Aided Fraud Prevention and Detection: A Step-by-Step Guide helps management and auditors answer T. S. Eliot's timeless question, 'Where is the knowledge lost in information?' Data analysis provides a means to mine the knowledge hidden in our information. Dave Coderre has long been a leader in educating auditors and others about Computer Assisted Audit Techniques. The book combines practical approaches with unique data analysis case examples that compel the readers to try the techniques themselves."
-Courtenay Thompson Jr.
Consultant, Courtenay Thompson & Associates
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David Coderre has over twenty years of experience in internal audit, management consulting, policy development, manage-ment information systems, system development, and application implementation areas. He is currently President of CAATS (Computer-Assisted Analysis Techniques and Solutions). He is the author of three highly regarded books on using data analysis for audit and fraud detection.
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