Rising to the Audit Analytics Challenge: How to Prioritize Efficiency, Accuracy, and Value
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 guide, Rising to the Audit Analytics Challenge: How to Prioritize Efficiency, Accuracy, and Value, we examine the two most common obstacles to analytics adoption: budget barriers and differentiating between high-code vs. 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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