Executive Member Pulse Check

This Pulse Check focuses on the current state of data analytics within your Internal Audit function, including how analytics are being implemented and applied across audit activities. It also explores common challenges to scaling analytics, how success is measured, and how leadership and ownership for analytics are structured.

Which best describes the current stage of data analytics implementation in your Internal Audit function?

Well Established - data analytics is embedded in all engagements
Expanding - analytics is used regularly but not yet consistently
Emerging - pilots and limited use cases are underway
Early Stage - planning and capability building have begun
Not yet started, but planned for this year
Not currently a priority

Where are you applying data analytics today (or planning to apply this year)? (Select all that apply)

What is the biggest challenge you face in scaling data analytics within Internal Audit?

Data access and/or quality
Talent skill gaps
Technology limitations
Resource constraints (other than skills)
Stakeholder buy-in or cultural resistance
Governance, standards, or quality concerns
Other, please specify
None of the above

How do you primarily measure the success of your data analytics efforts? (Select all that apply)

Increased audit coverage
Improved risk insight
Improved audit efficiency
Stronger stakeholder engagement and impact
Quality and actionability of audit insights
Adoption and consistent use across audits
Other, please specify
None of the above

Who performs data analytics within your internal audit function?

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Executive Member Pulse Check