Anti-Fraud Risk and Control Workbook

Front Cover
John Wiley & Sons, Jul 17, 2009 - Business & Economics - 192 pages

How to measure your organization's fraud risks
Detecting fraud before it's too late
Little-known frauds that cause major losses
Simple but powerful anti-fraud controls

Proven guidance for fraud detection and prevention in a practical workbook format

An excellent primer for developing and implementing an anti-fraud program, Anti-Fraud Risk and Control Workbook engages readers in an absorbing self- paced learning experience to develop familiarity with the practical aspects of fraud detection and prevention.

Whether you are an internal or external auditor, accountant, senior financial executive, accounts payable professional, credit manager, or financial services manager, this invaluable resource provides you with timely discussion on:

  • Why no organization is immune to fraud
  • The human element of fraud
  • Internal fraud at employee and management levels
  • Conducting a successful fraud risk assessment
  • Basic fraud detection tools and techniques
  • Advanced fraud detection tools and techniques

Written by a recognized expert in the field of fraud detection and prevention, this effective workbook is filled with interactive exercises, case studies, and chapter quizzes and shares industry-tested methods for detecting, preventing, and reporting fraud.

Discover how to become more effective in protecting your organization against financial fraud with the essential techniques and tools in Anti-Fraud Risk and Control Workbook.

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About the author (2009)

PETER D. GOLDMANN is founder and President of White-Collar Crime 101 LLC, the parent company of FraudAware and publisher of the monthly newsletter, White-Collar Crime Fighter. He has been the Publisher and Editor of White-Collar Crime Fighter for over twelve years and is recognized as a leading expert in the areas of fraud detection, prevention, investigation, and training. He has written numerous articles on practical approaches to fraud prevention and detection.

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