Fraud Data Analytics Methodology: The Fraud Scenario Approach to Uncovering Fraud in Core Business Systems

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

Preface

Chapter 1 Introduction to Fraud Data Analytics

Chapter 2 Fraud Scenario Identification

Chapter 3 Data Analytics Strategies for Fraud Detection

Chapter 4 How to Build a Fraud Data Analytics Plan

Chapter 5 Data Analytics in the Fraud Audit

Chapter 6 Fraud Data Analytics for Shell Companies

Chapter 7 Fraud Data Analytics for Fraudulent Disbursements

Chapter 8 Fraud Data Analytics for Payroll Fraud

Chapter 9 Fraud Data Analytics Company Credit Cards

Chapter 10 Fraud Data Analytics for Theft of Revenue and Cash Receipts

Chapter 11 Fraud Data Analytics for Corruption Occurring in the Procurement Process

Chapter 12 Corruption Committed by the Company

Chapter 13 Fraud Data Analytics for Financial Statements

Chapter 14 Fraud Data Analytics for Revenue and Accounts Receivable Misstatement

Chapter 15 Fraud Data Analytics for Journal Entries

Appendix A

Appendix B

About the Author

Index

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.