Know Why Data Is Still Being Kept.

Documenting the original business requirement clarifies why the data was generated—such as a specific software release, research project, client deliverable, or regulatory mandate. Having this historical context prevents misinterpretation and provides the baseline for determining whether the data has served its intended operational role.

Assess whether ongoing business operations, active pipelines, or contractual commitments still rely on this data. If the underlying initiative is concluded and no ongoing read/write activity is detected, the storage status transitions from active tier to reference, cold archive, or candidate for decommissioning.

Verify cross-departmental dependencies before altering access controls or scheduling deletion. Analytics teams, compliance officers, or engineering units might ingest shared directories or object buckets downstream without the primary owner's immediate visibility.

Identify redundant staging directories, unmanaged snapshots, local analyst exports, and replicated backup volumes. Confirm which data set is the single canonical source of truth so secondary duplicate copies can be consolidated or safely purged.

Highlight gaps in metadata such as missing data classification tags, undefined retention schedules, unrecorded legal hold statuses, or absent data privacy flags. Identifying missing metadata allows administrators to remediate audit risks before final policy enforcement.

Establish concrete action items and assign deadlines: migrate designated shares to immutable cold tiers, complete owner sign-offs, execute planned deletion cycles, or configure automated storage access threshold monitors ahead of the scheduled audit date.