Login

Nigrini, Mark

Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations

Nigrini, Mark - Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations, ebook

94,30€

Ebook, PDF with Adobe DRM
ISBN: 9781118087688
DRM Restrictions

Printing173 pages with an additional page accrued every 5 hours, capped at 173 pages
Copy to clipboard29 excerpts

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.

Keywords: Accounting Technology, Mark Nigrini, forensic analytics, forensic accounting, forensic investigations, Benford's Law, Microsoft Access, Microsoft Excel,  , fraud, fraud detection, fraud investigation, data analysis

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2011
Language
en
Edition
1
Series
Wiley Corporate F&A
Page amount
576 pages
Category
Economy
Format
Ebook
eISBN (PDF)
9781118087688
Printed ISBN
9780470890462

Similar titles