Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations, 2nd Edition

By Mark J. Nigrini, Ph.D

Hand pointing a ben at a line graph above the title Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations
Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations, 2nd Edition


The revised and updated Second Edition of "Forensic Analytics" offers an essential guide to detecting accounting fraud, biases and errors in financial data. You will explore the methods and techniques you can use to identify anomalies in both corporate and public sector data including errors, biases, duplicates, number rounding and omissions.

"Forensic Analytics" is written as a resource for professional accountants and auditors who typically lack a rigorous understanding of complex math and statistics. While the book is filled with fascinating vignettes and illustrations, it puts the focus on the quantitative and computing aspects of forensics. One lengthy chapter discusses how to detect financial statement misconduct through the use of various statistical approaches. The use of Benford's Law, descriptive statistics, correlation and timeseries analysis are also reviewed. The book's data interrogation methods are based on common statistical techniques and the author's own research in the field. The author shows how to use Access and Excel in a forensic framework to help connect the dots and to reveal any red flags.

This revised Second Edition contains updates to Access and Excel that help detect anomalies and potential fraud, a review of the use of R, a flexible and free program that can do almost anything when it comes to data analysis, and many fresh fraud cases that complement the techniques presented. "Forensic Analytics" provides the information and examples needed to help you hone your skills to become a forensics-related analytics expert in your organization.

Product Details

Label Value
ISBN 978-1119585763
Publisher Wiley
Published Copyright 2020
Pages 544
Format Hardcover

Table of Contents

Chapter 1 Using Microsoft Excel for Forensic Analytics
Chapter 2 The Initial High-Level Overview Tests
Chapter 3 Benford’s Law: The Basic Tests
Chapter 4 Benford’s Law: Advanced Topics
Chapter 5 Benford’s Law: Completing The Cycle
Chapter 6 Identifying Anomalous Outliers: Part 1
Chapter 7 Identifying Anomalous Outliers: Part 2
Chapter 8 Identifying Abnormal Duplications
Chapter 9 Comparing Current Period and Prior Period Data: Part 1
Chapter 10 Comparing Current Period and Prior Period Data: Part 2
Chapter 11 Identifying Anomalies In Time-Series Data
Chapter 12 Scoring Forensic Units for Fraud Risk
Chapter 13 Case Study: An Employee’s Fraudulent Tax Refunds
Chapter 14 Case Study: A Supplier’s Fraudulent Shipping Claims
Chapter 15 Detecting Financial Statement Fraud
Chapter 16 Using Microsoft Access and R For Analytics
Chapter 17 Concluding Notes on Fraud Prevention and Detection

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