Problem
A large financial services organization needed a clear understanding of its current Data Governance maturity, specifically within the Metadata Management and Data Quality Management workstreams. While the company had multiple data initiatives underway, leadership lacked visibility into:
- How mature each capability actually was
- Where gaps existed across people, process, and technology
- What improvements were required to support regulatory reporting, analytics, and enterprise data governance
- How to prioritize investments and build a roadmap
The organization requested a structured, objective maturity assessment to evaluate current-state capabilities and provide a clear path toward a target-state operating model.
Approach
You conducted a comprehensive maturity assessment across the Metadata Management and Data Quality Management domains, using a structured framework aligned to DAMA, DCAM, and industry best practices. The assessment included interviews, artifact reviews, system evaluations, and process walkthroughs.
Outcome
- Delivered a comprehensive maturity assessment with clear scoring across Metadata and Data Quality domains.
- Identified critical gaps in ownership, metadata processes, lineage, and DQ monitoring.
- Provided a prioritized roadmap that guided the organization’s next phases of Data Governance investment.
- Enabled leadership to make informed decisions about tooling, staffing, and process improvements.
- Established a baseline maturity score that the organization can measure against in future assessments.
- Strengthened alignment between Business Units, IT, and Governance teams by clarifying roles and expectations.