Contents
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
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