In the age of digital transformation, the landscape of auditing and
assurance practices is evolving rapidly. Traditional methods of
auditing, which heavily relied on manual processes and sample-based
testing, are gradually being replaced by more sophisticated techniques
harnessing the power of data analytics and data mining. Among these
innovative approaches, data mining emerges as a game-changer, offering
auditors unprecedented insights into vast amounts of data to detect
patterns, anomalies, and potential risks. In this article, we delve into
the realm of data mining in auditing, exploring its significance,
applications, and the transformative impact it brings to the audit
profession.