Fraud and Fraud Detection: A Data Analytics Approach

Book Title

 By Sunder Gee 


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:
Copyright 2015
Hardcover, 352 Pages
Wiley; 1 edition (December 3, 2014)

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