Where this shows up

A stale or incomplete CMDB is a common finding in life sciences IT — configuration items that no longer exist, dependencies that were never mapped, and validated systems whose actual infrastructure has quietly drifted from what’s documented. That gap makes impact analysis for changes and incidents guesswork instead of fact.

How we approach it

• Define a CMDB scope and data model that covers what validation and audit actually need, not every asset in the environment.
• Reconcile discovered infrastructure against existing documentation to close drift.
• Map dependencies between infrastructure, applications, and validated processes.
• Put ownership and update triggers in place so the CMDB stays current after go-live, not just at launch.

What changes

• Impact analysis based on real dependencies, not assumptions
• A CMDB that matches what auditors find when they check
• Faster root-cause analysis when incidents span multiple systems