Data that was clean right after rollout naturally starts to degrade after a year — new employees who haven’t learned all the rules rush through filling in fields, and outdated information never gets removed.
How to keep things clean long-term
- Clear, documented rules for how each important field should be filled in
- Periodic automatic checks flagging empty or clearly incorrect entries
- One person responsible for data quality, not just data usage
Data hygiene isn’t a one-time project — it’s an ongoing process that either gets maintained deliberately, or gradually falls apart without anyone immediately noticing.
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