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

By Leonard. W. Vona, CFE, CPA

This book’s author is a CFE

This book's author is a CFE.

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


Fraud doesn't always stand out within millions of transactions. In "Fraud Data Analytics Methodology", you will learn proven techniques and methodologies to help you identify signs of fraud hidden deep within databases. Requiring no advanced software skills, you can easily implement and integrate these methodologies into your existing audit program.

You Will Learn How To:

  • Discover hidden signs of fraud
  • Build a holistic fraud data analytics plan
  • Identify red flags that lead to fraudulent transactions
  • Build efficient data interrogation into your audit plan

Product Details

This book's author is a CFE.
Label Value
ISBN 978-1-119-18679-3
Publisher Wiley; 1 Edition
Published 2017
Pages 400
Format Hardcover

Table of Contents

Chapter 1 Introduction to Fraud Data Analytics
Chapter 2 Fraud Scenario Identification
Chapter 3 Data Analysis 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 for 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 Data Mining Audit Program for Shell Companies
About the Author

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