Fraud and Fraud Detection: A Data Analytics Approach

By Sunder Gee

Book cover for Fraud and detection


Business databases have grown tremendously with the rise of big data and will continue to expand at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but this book helps you gain the data analytics skills that can be used in conjunction with any analytics software in order to bring these anomalies to light.

"Fraud and Fraud Detection" takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software (demo version included on companion website).

You will discover how to:

  • Understand the different areas of fraud and their specific detection methods
  • Identify anomalies and risk areas using computerized techniques
  • Develop a step-by-step plan for detecting fraud through data analytics
  • Utilize IDEA software to automate detection and identification procedures

Product Details

Label Value
ISBN 978-1-118-77965-1
Publisher Wiley; 1 Edition (December 3, 2014)
Published Copyright 2015
Pages 352
Format Hardcover

Table of Contents

Chapter 1 Introduction
Chapter 2 Fraud Detection
Chapter 3 The Data Analysis Cycle
Chapter 4 Statistics and Sampling
Chapter 5 Data Analytical Tests
Chapter 6 Advanced Data Analytical Tests
Chapter 7 Skimming and Cash Larceny
Chapter 8 Billing Schemes
Chapter 9 Check-Tampering Schemes
Chapter 10 Payroll Fraud
Chapter 11 Expense Reimbursement Schemes
Chapter 12 Register Disbursement Schemes
Chapter 13 Noncash Misappropriations
Chapter 14 Corruption
Chapter 15 Money Laundering
Chapter 16 Zapper Fraud
Chapter 17 Automation and IDEAScript
Chapter 18 Conclusion

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