Metric Governance
Standardizes KPI definitions, calculation rules, ownership lifecycles, and approval workflows across enterprise data systems.
The Metric Governance skill establishes a structured framework for defining, approving, and maintaining official enterprise KPIs and operational metrics. Aligned with DMBOK data governance and metadata management standards, this skill helps data teams resolve conflicting metric definitions, assign ownership and stewardship roles, establish rigorous calculation rules, and trace data lineage down to source controls. It is ideal for teams building metric dictionaries, managing change logs, or seeking single-source-of-truth reliability before exposing metrics to executive dashboards.
주요 기능
01Structured change log templates with versioning rationale
02Formal ownership, stewardship, and approval lifecycle tracking
03Metric classification across strategic, operational, and diagnostic tiers
04Source data lineage mapping and quality control checks
05Standardized KPI calculation rules and grain definitions
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사용 사례
01Establishing formal sign-off and approval paths for new executive metrics
02Documenting official enterprise KPI dictionaries for business intelligence
03Resolving contradictory metric formulas across cross-functional departments