Data quality should not be treated as a one-time cleanup exercise.
As assets, materials and business processes change, governance and validation need to continue throughout the data lifecycle.
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@pilogian.bsky.social@pilogian.bsky.socialMaster data has a lifecycle. From creation and governance to migration, operations, maintenance and replacement, every stage matters when building information that remains reliable over time.
