Together, Reducing Fraud Worldwide

Fraud Analytics: Strategies and Methods for Detection and Prevention


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  Fraud Analytics
 

By Delena D. Spann, CFE

 

 

Description: 


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.

 



Product Details:
Copyright 2013
978-1-118-23068-8
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



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