Audit firms around the globe have invested heavily in a variety of audit technologies. Of these technological developments, audit data analytics (ADA) are receiving increased attention because they enable auditors to incorporate more diverse data and visualizations into their testing (i.e., graphical representations such as charts, scatter diagrams, trend lines, or maps).
The American Institute of Certified Public Accountants (AICPA) defines ADA as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for the purpose of planning or performing the audit”. The current study focuses on ADA visualizations, which can aid auditors when scrutinizing audit evidence and ultimately improve audit quality.
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