Description
Repeat deviations and audit findings rarely come out of nowhere. The warning signs are often already in your quality data: overdue CAPAs, recurring minor deviations, or persistent training gaps. But when the focus is on closing records, the bigger picture gets missed.
In this CaseLab, Milind Nadgouda, Co-founder & Director of Operations at RiverArk, uses a real, anonymized GMP case to show how overlooked signals can escalate into audit findings, and how to spot patterns early by combining data with context.
Christopher Hayden, Partnership Manager at Scilife, will then demonstrate how a modern eQMS connects events, CAPAs, and training data to help teams identify risks and act before they become findings.
You’ll leave with:
- Early-warning signals in deviations, CAPAs, and training that precede repeat issues.
- How to look beyond top-level metrics and combine trends with qualitative context.
- Practical ways to help teams spot and raise concerns earlier.
- How to turn your eQMS from a compliance repository into a proactive decision-making tool.
