Using Analytics to Detect Possible Fraud: Tools and Techniques

Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting

Using Analytics to Detect Possible Fraud: Tools and Techniques is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed.

• Shows how to develop both efficiency and effectiveness in forensic accounting
• Provides information in such a way that non-practitioners can easily understand
• Written in plain language: advanced mathematical skills are not required
• Features actual case studies using analytical tests

Essential reading for every investor who wants to prevent financial fraud, Using Analytics to Detect Possible Fraud allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financial reporting before it's too late.

Author: Pamela S. Mantone
Publisher: Wiley
Published: 08/05/2013
Pages: 368
Binding Type: Hardcover
Weight: 1.25lbs
Size: 9.00h x 6.20w x 1.30d
ISBN: 9781118585627

About the Author

PAMELA S. MANTONE, CPA, CFF, CITP, CGMA, CFE, FCPA, is a Senior Assurance Manager at Joseph Decosimo & Company, PLLC, practicing in the areas of audit and attestation with a focus on forensic accounting, fraud examination and audits of financial institutions, nonprofit organizations, publicly traded companies and governments. She provides forensic accounting services, with an emphasis on embezzlement and fraudulent financial information for multiple organizations, as well as consulting services regarding the implementation of fraud prevention and fraud protection internal control systems.