Chapter 1: The Schematics of Fraud and Fraud Analytics
How Do We De fine Fraud Analytics?
Mining the Field: Fraud Analytics in its New Phase
How Do We Use Fraud Analytics?
How Do We Define Fraud Analytics?
Chapter 2: The Evolution of Fraud Analytics
Fraud Prevention and Detection in Fraud Analytics
Incentives, Pressures, and Opportunities
Chapter 3: The Analytical Process and the Fraud Analytical Approach
The Turn of The Analytical Wheel
Probabilities of Fraud and Where it All Begins
What Should the Fraud Analytics Process Look Like?
Chapter 4: Using ACL Analytics in the Face of Excel
The Devil Remains in the Details
Chapter 5: Fraud Analytics versus Predictive Analytics
Overview of Fraud Analysis and Predictive Analysis
Comparing and Contrasting Methodologies
13 Step Score Development versus Fraud Analysis
CRISP-DM versus Fraud Data Analysis
SAS/SEMMA versus Fraud Data Analysis
Conflicts within Methodologies
Comparing and Contrasting Predictive Modeling and Data Analysis
Chapter 6: CaseWare IDEA Data Analysis Software
Correlation, Trend Analysis, and Time Series Analysis
A Simple Scheme: The Purchase Fraud of an Employee as a Vendor
Chapter 7: Centrifuge Analytics: Is Big Data Enough?
The Challenge with Anti-Counterfeiting
Interactive Analytics: The Centrifuge Way
Fraud Analysis with Centrifuge VNA
Chapter 8: i2 Analyst's Notebook: The Best in Fraud Solutions
Rapid Investigation of Fraud and Fraudsters
i2 Analyst's Notebook and Fraud Analytics
How to Use i2 Analyst's Notebook: Fraud Financial Analytics
Using i2 Analyst's Notebook in a Money-Laundering Scenario
Actionable Intelligence Technologies' Financial Investigative Software
Chapter 10: New Trends in Fraud Analytics and Tools
The Many Faces of Fraud Analytics