approve-drd

To formally approve a Data Requirements Document, you must update the DRD status to Approved. This action eliminates manual tracking errors and unblocks the creation of downstream artifacts like high-level designs, data models, and user stories.

Approving a DRD in unvalidated draft status triggers pre-approval validation checks. The system automatically detects the draft status and prevents the approval to ensure data requirements are fully reviewed before downstream artifact creation.

Yes, duplicate approvals are prevented through automated pre-approval checks. The system detects if a Data Requirements Document is already approved and stops duplicate sign-offs, ensuring consistent workflows and accurate version history.

The DRD approval process maintains an audit trail by logging session notes for every approval action. It automatically updates metadata, last modified dates, and version history to support compliance and team traceability.

You need an automated DRD approval workflow when your data engineering team requires formal sign-off on data requirements. It replaces manual status tracking to prevent inconsistent workflows, duplicate work, and blocked downstream tasks.

After a DRD is formally approved, downstream data artifacts including high-level designs, data models, and user stories can be immediately created. This allows data engineering teams to start building the corresponding analytics pipelines.