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Jump Start Your Audit Analytics Capabilities - Get the Guide
While data analytics have a proven host of benefits when utilized effectively by audit teams, audit analytics adoption levels still aren’t entirely uniform across the industry. According to a Chartered IIA and AuditBoard report, 60% of internal audit teams use data analytics. Meanwhile, The IIA’s North American Pulse Survey found 68% of CAEs would invest in more analytics if they had the resources.

At the same time, a CAE’s worst fear is making an investment in a technology solution only for it to get shelved months down the line due to low adoption rates and being too complex for day-to-day use. In AuditBoard’s new guide, Rising to the Audit Analytics Challenge: How to Prioritize Efficiency, Accuracy, and Value, you’ll learn more about how to overcome the two most common obstacles to analytics adoption: budget barriers and differentiating between high-code versus low-code/no-code audit analytics.

Download this free guide to learn:
  • Why analytics adoption is critical to enabling modern audit teams to manage heavier audit workloads and bigger control populations.
  • Three ways to make the case for investing in a low-code/no-code data analytics solution.
  • Two primary use cases for applying analytics automation in internal audit and SOX.
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