Description:
With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related.
Forensic Analytics:
Demonstrates how to use Access, Excel, and PowerPoint in a forensic setting
Explores use of statistical techniques such as Benford's Law, descriptive statistics, correlation, and time-series analysis to detect fraud and errors
Discusses the detection of financial statement fraud using various statistical approaches
Explains how to score locations, agents, customers, or employees for fraud risk
Shows you how to become the data analytics expert in your organization
This book shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.
Product Details:
Copyright 2011
ISBN 978-0-470-64726-4
Hardcover, 463 pages
John Wiley & Sons Publishing
Table of Contents:
Chapter 1: Using Access in Forensic Investigations
Chapter 2: Using Excel in Forensic Investigations
Chapter 3: Using PowerPoint in Forensic Presentations
Chapter 4: High-Level Data Overview Tests
Chapter 5: Benford’s Law: The Basics
Chapter 6: Benford’s Law: Assessing Conformity
Chapter 7: Benford’s Law: The Second-Order and Summation Tests
Chapter 8: Benford’s Law: The Number Duplication and Last-Two Digits Tests
Chapter 9: Testing the Internal Diagnostics of Current Period and Prior Period Data
Chapter 10: Identifying Fraud Using the Largest Subsets and Largest Growth Tests
Chapter 11: Identifying Anomalies Using the Relative Size Factor Test
Chapter 12: Identifying Fraud Using Abnormal Duplications within Subsets
Chapter 13: Identifying Fraud Using Correlation
Chapter 14: Identifying Fraud Using Time-Series Analysis
Chapter 15: Fraud Risk Assessments of Forensic Units
Chapter 16: Examples of Risk Scoring with Access Queries
Chapter 17: The Detection of Financial Statement Fraud
Chapter 18: Using Analytics on Purchasing Card Transactions