Home // International Journal On Advances in Systems and Measurements, volume 16, numbers 3 and 4, 2023 // View article

An Extended Study on the Usage of Audit Data Analytics within the Accountancy Sector

Authors:
Lotte Verhoeven
Eric Mantelaers
Martijn Zoet

Keywords: audit data analytics; audit quality; process mining; process mining algorithms.

Abstract:
Evidence from the various reports and articles as well as the importance of the audit process shows that adjustment and/or improvement of the current audit approach within the accountancy sector is necessary. Research demonstrates that technology can contribute to an improvement of audit quality, by enhancing audit effectiveness and efficiency. Additionally, previous research increasingly recognizes that audit data analytics is likely to transform the conduct of the audit significantly. The goal of this research is to study how Audit Data Analytics is currently used within the audit. In order to answer this question, a survey was distributed via the Dutch National Accountants Association, focusing on how Audit Data Analytics is used in the accountancy sector. This paper extends the previous research [1], including a more detailed literature review, data collection, analysis and results. The results and the non-chronological order of the data analysis types indicate a misinterpretation or lack of understanding of the data analysis types (implemented in the survey) and their chronological order.

Pages: 130 to 139

Copyright: Copyright (c) to authors, 2023. Used with permission.

Publication date: December 30, 2023

Published in: journal

ISSN: 1942-261x