Data Analytics Skills for Internal Auditors - Global Practice Guide

Data Analytics Skills for Internal Auditors - Global Practice Guide

Companion IIA Audit Tool: Audit Analytics Maturity Model

This Global Practice Guide explores the skills, competencies, and technologies that enable internal auditors to effectively leverage data analytics in an increasingly digital business environment.

As organizations generate vast amounts of data, traditional audit approaches based on sampling and manual reviews are becoming less effective. Data analytics allows internal auditors to examine larger datasets, identify anomalies, detect patterns, and provide more comprehensive assurance and advisory services. The guide also highlights the growing role of advanced technologies, including artificial intelligence (AI) and generative AI, in supporting audit activities and enhancing insight generation.

Aligned with The IIA’s Vision 2035, the document emphasizes the evolution of internal auditors into strategic advisors who use data-driven technologies to deliver timely, actionable insights. It also underscores the responsibility of chief audit executives to ensure that internal audit functions have the necessary talent, tools, and capabilities to maximize the value of data analytics and measure its effectiveness.

Overall, the guide provides an overview of the competencies, resources, and technological foundations required to strengthen data analytics capabilities and support more effective, risk-focused internal auditing.