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.
@pilogian.bsky.social
@pilogian.bsky.socialData 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.
@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.
