Traditional sampling methods can't catch systemic data issues in today's high-volume audit environment, and the gap between assumed accuracy and validated data is widening fast.
Highlights
- The audit validation gap risks material misstatements due to unverified large data volumes.
- Traditional manual sampling and spreadsheet methods fail to ensure data accuracy and completeness.
- AI-powered continuous validation offers a competitive edge by improving audit quality and efficiency.
To dig deeper, visit the original article on the Thomson Reuters blog.