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Applying visual analytics to fraud detection using Benford's law
Author(s) -
Goh Clarence
Publication year - 2020
Publication title -
journal of corporate accounting and finance
Language(s) - English
Resource type - Journals
eISSN - 1097-0053
pISSN - 1044-8136
DOI - 10.1002/jcaf.22440
Subject(s) - benford's law , analytics , visual analytics , computer science , law , accounting , data science , business , statistics , data mining , political science , mathematics , visualization
Benford's law has been examined as a useful tool for detecting potential accounting fraud. In this article, I provide an introduction to Benford's law and examine how the first digit, second digit, and first‐two digits tests in Benford's law can be employed to detect potential accounting fraud. In addition, I also highlight, through a worked example, how Tableau, a visual analytics tool, can be used to perform Benford's law's first‐digit test to detect potential fraud.