Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations

Front Cover
John Wiley & Sons, May 12, 2011 - Business & Economics - 480 pages
Discover how to detect fraud, biases, or errors in your data using Access or Excel

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.

  • 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

Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.

 

Contents

Using Access in Forensic Investigations
1
Contents
8
Using Excel in Forensic Investigations
27
Using PowerPoint in Forensic Presentations
43
HighLevel Data Overview Tests
63
Benfords Law The Basics
85
Benfords Law Assessing Conformity
109
Benfords Law The SecondOrder
130
36
252
40
260
Identifying Fraud Using Correlation
263
43
278
Identifying Fraud Using TimeSeries Analysis
297
Fraud Risk Assessments of Forensic Units
332
44
337
Inspection Rankings
347

Benfords Law The Number Duplication
153
Testing the Internal Diagnostics of Current
173
10
191
Identifying Anomalies Using the Relative
212
24
229
Identifying Fraud Using Abnormal Duplications
233
28
239
32
246
Discussion
353
The Detection of Financial Statement Fraud
388
45
392
Using Analytics on Purchasing Card Transactions
425
References
455
46
462
Copyright

Other editions - View all

Common terms and phrases

About the author (2011)

MARK J. NIGRINI, PHD, is an Associate Professor at The College of New Jersey, where he teaches auditing and forensic accounting. His current research addresses forensic and continuous monitoring techniques and advanced theoretical work on Benford's Law. Dr. Nigrini has published his Benford's Law and forensic accounting research in academic journals and in professional accounting and auditing publications. He has been interviewed on radio and television and his work has been discussed in publications including the Wall Street Journal and the New York Times.

Bibliographic information