The Data-Confident Internal Auditor

For internal auditors, developing trends in data analysis and data science can feel less like a wealth of information and more like an avalanche. Still, better use of data provides an opportunity to advance your career by adopting new, invaluable skills.

The missing link?

Jargon-free guidance that cuts through the hype.

The Data-Confident Internal Auditor demystifies the use of data in internal audits through practical, step-by-step guidance. With concepts and tools that are easy to understand and apply, this comprehensive guide shows you how to approach data yourself, without having to wait on data scientists or technical experts.

Developed over the course of hundreds of audits, these real-world approaches and practices are distilled into a simple sequence of steps that will leave you feeling confident and even eager to apply them for yourself.

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About the Authors

Yusuf Moolla has over twenty years of experience in data, assurance, and plaguing his colleagues with his dry sense of "humor." A Certified Internal Auditor, Yusuf has worked for both Deloitte and KPMG, leading audits and data projects around the world.

Conor McGarrity's background includes KPMG as well as the public sector. Passionate about leveraging data for better audit outcomes and redefining the limits of what's possible, he also enjoys displaying a unique blend of "skill" and "finesse" on the soccer field.