Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations

ISBN-13: 9780470890462
ISBN-10: 0470890460
Edition: 1
Author: Mark Nigrini
Publication date: 2011
Publisher: Wiley
Format: Hardcover 480 pages
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Book details

ISBN-13: 9780470890462
ISBN-10: 0470890460
Edition: 1
Author: Mark Nigrini
Publication date: 2011
Publisher: Wiley
Format: Hardcover 480 pages

Summary

Acknowledged authors Mark Nigrini wrote Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations comprising 480 pages back in 2011. Textbook and eTextbook are published under ISBN 0470890460 and 9780470890462. Since then Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations textbook was available to sell back to BooksRun online for the top buyback price of $ 12.91 or rent at the marketplace.

Description

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.

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