Global Guidance: Understanding Data Analytics for Internal Auditors
This member-only Global Practice Guide helps internal auditors better understand how data analytics can support modern internal audit activities. The publication provides insights into data analytics, AI, data quality, data governance and data extraction within increasingly complex organizational environments.
The guide explains how internal auditors can leverage descriptive, predictive and augmented analytics to improve audit effectiveness, strengthen assurance activities and identify emerging risks more proactively. It also addresses the growing role of generative AI, large language models and continuous auditing within the profession.
The publication aligns with the Global Internal Audit Standards and supports internal auditors in further strengthening data driven audit approaches.