Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems (Wiley Corporate F&A) - Hardcover

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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.

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Praise for FRAUD DATA ANALYTICS METHODOLOGY

"Leonard Vona inspired my fraud career and introduced me to the incredible power of data analytics in detecting and fighting fraud. His new book is sure to inspire many more fraud fighters. His clear and concise guidance and instruction will provide even new fraud fighters powerful techniques that are certain to deliver results."
Mary Breslin, CIA, CFE, President, Empower Audit Training and Consulting

"Leonard's emphasis to first seek to understand how fraud can happen and only then create and carry-out fraud data analytics and procedures should maximize internal audit's impact, while minimizing time spent on engagement planning. This book provides detailed instructions on how to audit for fraud for all key business processes and should be leveraged by all serious Internal Auditors."
Tom O'Reilly, Vice President and General Manager of Internal Audit and Seminars, MIS Training Institute

"Fraud Data Analytics Methodology will help auditors close the expectation gap. It is an in-depth manual for using a fraud scenario approach to finding just about any kind of fraud. The author provides step-by-step guidance on fraud planning reports and analytics that will detect fraudulent transactions within a company's business systems."
Carolyn J. Newman, President, Audimation Services, Inc. A CaseWare Analytics Partner

"I recommend this book to auditors who want to look for fraud in a structured, methodical and scientific way."
Hassan Mohd. Ali Al Lawati, Assistant Chief Internal Auditor, Oman LNG

Aus dem Klappentext

Fraud doesn't stand out within millions of transactions. To further complicate matters, every data anomaly isn't necessarily fraud. To be successful at fraud data analytics, you must develop a skillful balance of hard science and practiced art to see the suspect scenarios like watermarks in the spreadsheets. Fraud Data Analytics Methodology lays out a convenient, detailed collection of the most common fraud scenarios and how they manifest in every core business system.

Written by a financial investigator with more than thirty years of practice, including extensive trial experience in state and federal courts, this guiding reference offers a step-by-step fraud data analytics methodology for effectively analyzing data with a goal of selecting transactions for audit examination. It opens with a straightforward primer on fraud data analytics to give you everything you need to understand and use the covered approach. From creating fraud scenarios to writing the fraud data analytics plan to the strategies for identifying red flags, comprehensive coverage is easily accessible and requires no advanced software skills. Every chapter includes a summary of critical points to remember for quick reference and a list of the most common pitfalls to avoid. While you may not always know the type of fraud being committed, this methodology ensures you find and identify every variation of fraud scenario by:

• Thoroughly demonstrating how to use fraud data analytics to uncover asset misappropriation, corruption, and financial reporting schemes, including how the fraud scenario correlates to each phase of the audit
• Providing direction on how and when to use specific strategies, along with guidance on locating fraud scenarios at all levels of concealment
• Nailing down the ten key questions to answer when creating a fraud data analytics audit program, and the eight-step process for customizing a data interrogation routine to locate fraud scenarios

Perpetrators always leave a trail of their crimes in your data systems, and Fraud Data Analytics Methodology is your surefire way to find them.