Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations

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9780470890462: Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations
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Discover how to detect fraud, biases, or errors in your datausing Access or Excel

With over 300 images, Forensic Analytics reviews andshows how twenty substantive and rigorous tests can be used todetect fraud, errors, estimates, or biases in your data. For eachtest, the original data is shown with the steps needed to get tothe final result. The tests range from high-level data overviews toassess the reasonableness of data, to highly focused tests thatgive small samples of highly suspicious transactions. These testsare relevant to your organization, whether small or large, forprofit, nonprofit, or government-related.

  • Demonstrates how to use Access, Excel, and PowerPoint in aforensic setting
  • Explores use of statistical techniques such as Benford's Law,descriptive statistics, correlation, and time-series analysis todetect fraud and errors
  • Discusses the detection of financial statement fraud usingvarious statistical approaches
  • Explains how to score locations, agents, customers, oremployees for fraud risk
  • Shows you how to become the data analytics expert in yourorganization

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

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From the Inside Flap:

Forensic Analytics Methods and Techniques for Forensic AccountingInvestigations

Forensic analytics is the use of electronic data to reconstructor detect financial fraud. The process of forensic analytics ismade up of data collection and preparation, data analysis, and thepreparation of a fraud report and the possible presentation of theresults.

In Forensic Analytics: Methods and Techniques for ForensicAccounting Investigations, author Mark Nigrini reviews the useof Microsoft Access and Excel in a forensic setting, together withmany rigorous analytical procedures to detect employee fraud,biases, and other irregularities including errors. The bookincludes a comprehensive chapter on financial statement fraud, andthe concluding chapter on credit/debit purchasing card fraud showsan authentic dashboard used by a Fortune 100 company.

Nigrini devotes three chapters to a review of the use of Access,Excel, and PowerPoint in a forensic setting. The next elevenchapters discuss data interrogation tests that could be used in aforensic setting to detect employee fraud, biases, and errors. Ineach chapter, the tests are discussed in general terms and are thendemonstrated using case studies with real data. In addition, thesteps needed to run the tests are illustrated with screenshots fromAccess and Excel. Two chapters review, with examples, arisk-scoring technique that can be used to score divisions, agents,or locations for fraud risk.

A full chapter presents various tests, along with real-worldexamples and case studies, to detect financial statement fraud. Theconcluding chapter is a case study showing an analysis ofpurchasing card data using selected tests from the prior chapters,and a presentation of the findings.

The companion website (www.nigrini.com/ForensicAnalytics.htm)has all the data tables used in the book, available for download.Along with notes and updates related to the book, the website alsoincludes end-of-chapter problems and assignments for use byinstructors, together with PowerPoint slides for presentations.

From the Back Cover:

Discover how to detect fraud, biases, or errors in your datausing Access or Excel

Every fraud or error changes your data in some way or another.The challenge is to find those needles in the haystack. ForensicAnalytics shows how you can use Microsoft Access and Excel as yourprimary interrogation tools to find exceptional, irregular, andanomalous transactions.

Forensic Analytics reveals how you can:

  • Use Access, Excel, and PowerPoint in a forensic setting

  • Use statistical techniques such as Benford's Law, correlation,and time-series analysis to detect fraud and errors

  • Detect financial statement fraud using one of severalstatistical approaches

  • Score divisions, locations, agents, or customers for fraudrisk

  • Become the data analytics expert in your organization

With over 300 images, Forensic Analytics reviews andshows how twenty tests can be used to detect fraud, errors, orbiases in your data. For each test, the original data is showntogether with the steps needed to get to the final result. Thetests range from thorough overviews to assess the reasonableness ofdata, to highly focused tests that give small samples of highlysuspicious transactions. Some tests incorporate time and changesover time while other tests look for irregular patterns,excessively large amounts, or excessive duplications. The tests arerelevant to any kind or size organization, whether small or large,nonprofit, or government-related.

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