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

ISBN 978-1-119-18679-3
Hardcover, 400 PAGES

Table of Contents:

  • Preface
  • 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
  • Index