Processes for designing and approving data quality metrics reports are formalized and take sensitivity classification and consumer needs into account; guidance helps design relevant, actionable reports; reports combine measurements from all rules, assets and control points; time-series measurements can be combined to show trends; and reports are accessible from the catalog to support quality management. Accountability for receiving the reports rests with the data owner; reports let stakeholders judge fitness for purpose, offer scorecards at element, aggregate and domain level, show issue status, allow drill-down into defective data, refresh on demand, support subscriptions and integrate with alerting and issue management.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.