Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems
Language: English
Published by John Wiley & Sons Inc, 2017
- Hardcover
- New
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Uncover hidden fraud and red flags using efficient data analytics Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. Series: Wiley Corporate F&A. Num Pages: 400 pages. BIC Classification: JKVK; KF; KJMV1. Category: (P) Professional & Vocational. Dimension: 165 x 237 x 36. Weight in Grams: 600. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9781119186793
- Title
- Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems
- Author
- Leonard W. Vona
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 111918679X
- ISBN 13
- 9781119186793
Fraud Data Analytics Methodology addresses the need for clear, reliable fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be able to better identify and respond to the risk of fraud in your audits. Proven techniques help you identify signs of fraud hidden deep within company databases, and strategic guidance demonstrates how to build data interrogation search routines into your fraud risk assessment to locate red flags and fraudulent transactions. These methodologies require no advanced software skills, and are easily implemented and integrated into any existing audit program. Professional standards now require all audits to include data analytics, and this informative guide shows you how to leverage this critical tool for recognizing fraud in today's core business systems.
Fraud cannot be detected through audit unless the sample contains a fraudulent transaction. This book explores methodologies that allow you to locate transactions that should undergo audit testing.
- Locate hidden signs of fraud
- Build a holistic fraud data analytic plan
- Identify red flags that lead to fraudulent transactions
- Build efficient data interrogation into your audit plan
Incorporating data analytics into your audit program is not about reinventing the wheel. A good auditor must make use of every tool available, and recent advances in analytics have made it accessible to everyone, at any level of IT proficiency. When the old methods are no longer sufficient, new tools are often the boost that brings exceptional results. Fraud Data Analytics Methodology gets you up to speed, with a brand new tool box for fraud detection.
"Synopsis" may belong to another edition of this title.
About the Author
LEONARD W. VONA, CPA, CFE, is the CEO of Fraud Auditing and a world-renowned authority in fraud auditing. He has provided expert witness testimony in federal and state courts; consulted with corporations around the world; and is the author of Fraud Risk Assessment: Building the Fraud Audit Program and The Fraud Audit: Responding to the Risk of Fraud in Core Business Systems, both published by Wiley. A forensic auditor with more than 38 years of diversified forensic auditing experience, he has provided more than 1,500 days of fraud training around the world.
"About the title" may belong to another edition of this title.
Kennys Bookstore
Olney, MD, U.S.A.
AbeBooks seller since October 9, 2009
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