Data CloudIntermediatedata-qualityscorecardgovernance
Design data quality scorecard on unified profile completeness
Real World Scenario
Only 40% of unified profiles have valid email; activations underperform and leadership blames Data Cloud platform.
Expected Answer
• Publish completeness metrics per attribute and source system
• Root cause: source CRM hygiene vs mapping vs match failures
• Remediation playbooks per source owner with SLAs
• Block activation segments below quality threshold automatically
• Incentivize capture at point of collection in store and web forms
• Track quality trend weekly not blame snapshot
• Tie data steward roles to named attributes
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Direct answer: Publish completeness metrics per attribute and source system Also consider: Root cause: source CRM hygiene vs mapping vs match failures In practice: Remediation playbooks per source owner with SLAs Balance speed of delivery with maintainability.
Architect Perspective
Data Cloud exposes quality problems it did not create — scorecards redirect accountability to source owners.