Data was clean initially, but inconsistencies have crept in. Fields mean different things across records. Reports are harder to trust. I want to understand why this happens.
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Data was clean initially, but inconsistencies have crept in. Fields mean different things across records. Reports are harder to trust. I want to understand why this happens.
As more users and integrations modify data, enforcement weakens. Validation rules may be bypassed or incomplete.
Business meaning evolves faster than enforcement mechanisms.
Ongoing governance is required.
Takeaway: Data quality is a continuous process, not a one-time setup.