data-stewardship-framework

What problem does it solve?

Organizations struggle to maintain reliable, well-defined data assets because responsibility, processes, and metadata are fragmented or undefined; this Skill provides a practical, phased framework to establish accountable stewardship, sane governance, and measurable improvements in data quality and metadata management.

Core Features & Use Cases

• Governance design: Templates and guidance to create a three-layer governance model (executive sponsors, governance committee, stewardship council) and a permanent DGPO.
• Role & responsibility definition: Clear criteria and RACI examples for business, technical, project, and operational data stewards and enterprise/lead steward roles.
• KBE & metadata operations: Stepwise instructions to select Key Business Elements, collect and publish business definitions, map to physical assets, and enforce data quality rules.
• Operational tooling & workflows: Advice to run profiling, issue logs, approval workflows, reference-data management, MDM identity rules, and maturity assessments with measurable KPIs.
• Use case: Launch a small-start pilot in finance or marketing to demonstrate ROI by improving address quality, reducing downstream exceptions, and reporting maturity gains.

Quick Start

Draft a one-page governance brief naming an executive sponsor, establish a DGPO lead, choose 3 initial KBEs, and define one measurable quality rule to pilot in the chosen business area.