Fraud Analytics explains the elements of analysis that are used in today's fraud examinations, fraud investigations and financial crime investigations. This valuable resource reviews the types of analysis that should be considered prior to beginning an investigation and explains how you can use data mining techniques to detect fraud. Packed with examples and sample cases illustrating pertinent concepts in practice, this book also explores two major data analytics providers, ACL and IDEA.
Hardcover, 176 Pages
John Wiley & Sons
Table of Contents:
Chapter 1: The Schematics of Fraud and Fraud Analytics
Chapter 2: The Evolution of Fraud Analytics
Chapter 3: The Analytical Process and the Fraud Analytical Approach
Chapter 4: Using ACL Analytics in the Face of Excel
Chapter 5: Fraud Analytics versus Predictive Analytics
Chapter 6: CaseWare IDEA Data Analysis Software
Chapter 7: Centrifuge Analytics: Is Big Data Enough?
Chapter 8: i2 Analyst's Notebook: The Best in Fraud Solutions
Chapter 9: The Power to Know Big Data: SAS Visual Analytics and Actionable Intelligence Technologies’ Financial Investigative Software
Chapter 10: New Trends in Fraud Analytics and Tools