How to Clean Up Messy Credential Data
A practical approach to fixing inconsistent naming, missing dates, and other data quality issues in your records.
Even a well-maintained system accumulates small inconsistencies over time. A periodic cleanup pass keeps your reporting accurate instead of quietly undercounting due to naming mismatches.
1. Find inconsistent credential type naming first
The most common issue is the same credential recorded under slightly different names — "OSHA 10" vs. "OSHA-10" vs. "OSHA 10-Hour." These fragment your reporting even though they mean the same thing.
2. Standardize on one name per credential type
Pick one consistent name for each credential type and update every record to match. Going forward, a shared company-wide credential type catalog prevents new inconsistencies from creeping back in.
3. Check for missing dates and incomplete records
A credential recorded without an issue or expiration date can't be tracked properly. Scan for records missing key fields and fill in what you can, flagging anything you genuinely can't verify.
4. Make this a recurring habit, not a one-time fix
Data quality degrades gradually as new records are added by different people over time. An annual (or more frequent, for a fast-growing team) cleanup pass keeps things from drifting too far before you notice.