Metric Governance
Establishes standardized metric governance, data stewardship, and control specifications across analytics domains.
Metric Governance provides rigorous standards for defining, cataloging, and managing metrics across analytics and operational environments. It enforces consistent documentation across workload, throughput, quality, and exception metrics by requiring standardized formulas, data grains, sources, operational owners, data stewards, monitoring cadences, and escalation thresholds. Inspired by ISO 9001 documentation lifecycles and control point mapping, this skill is ideal for analytics engineers, data governors, and reporting teams needing audit-ready, disambiguated metric definitions.
主な機能
01Defines monitoring cadences, performance thresholds, and escalation pathways
020 GitHub stars
03Separates accountability by tracking both operational owners and data stewards
04Outputs structured, audit-ready metric metadata tables
05Standardizes metric formulas, measurement units, aggregation logic, and data grain
06Maps every metric directly to a verifiable control point and source system
ユースケース
01Documenting quality, throughput, and exception metrics for compliance audits
02Standardizing enterprise KPI and metric dictionaries across BI tools and data models
03Implementing data governance frameworks with clear stewardship and operational ownership