An executive-level, evidence-backed view of enterprise data governance posture.
Built for Chief Data Officers, Risk & Compliance, and Internal Audit — surfacing certification, quality, privacy, lineage, and automation health at a glance to support continuous assurance.
Critical assets with validated ownership. Orphaned assets are a primary root cause of findings.
Assets meeting quality thresholds, with QoQ trend. Drives reporting accuracy and model reliability.
Coverage of required privacy & security controls under GLBA, GDPR and similar frameworks.
Completeness of end-to-end lineage — a BCBS 239 and model-risk expectation.
Proportion of material assets meeting certification standards.
Absolute certified vs. in-scope exposure.
Velocity and program momentum.
Distribution across business domains.
Fully / Partially / Not Certified risk segmentation.
Volume of discoverable assets for enterprise use.
Users actively leveraging marketplace assets.
Assets prepared for safe enterprise reuse.
Where data is being actively consumed.
Growth in marketplace usage over time.
Assets certified through automated controls.
Evaluates certification requirements and surfaces gaps.
Visual certification indicator tied to evidence.
Aggregates supporting artifacts for an asset.
Updates status and recalculates posture.
Guided navigation, discovery & governance inquiries.
% of controls with current validation evidence.
Whether required traceability is intact.
Composite indicator of audit preparedness.
Total, severity, remediation time & SLA breaches.
Coordinates workflow execution.
Categorizes assets and metadata.
Monitors regulatory alignment.
Evaluates data quality conditions.
Monitors privacy & protection controls.
Generates governance summaries.
Executes task automation.
By combining certification signals, control monitoring, and automation visibility, the dashboard enables banks to manage data risk proactively while supporting scalable, audit-ready governance.