
Building a trusted data ecosystem requires more than dashboards and policies. It requires a measurable, repeatable way to evaluate trustworthiness across the enterprise in support of your AI readiness goals. This session presents a real-world case study of designing and operationalizing a comprehensive Trusted Data Score within a large insurance and financial services organization. The score integrates metadata from many platforms to quantify trust across Ownership, Curation, Quality, Protection, and Observability.
Attendees will learn how the scoring model was designed, how the concept was socialized, and how automation was built to keep the score continuously updated. The session will focus on practical implementation steps, organizational adoption strategies, and lessons learned from deploying the approach at scale. This talk is ideal for data governance leaders, stewards, and architects interested in moving beyond conceptual frameworks toward actionable, automated trust measurement.
Key takeaways:
Speaker: Shane Morris, Director, Enterprise Metadata Governance, Nationwide Mutual

Shane is a seasoned data and metadata leader currently focused on enabling governance at scale in a large enterprise environment. With a background in developing metadata frameworks, driving catalog and observability tool integrations, and elevating data trust across complex systems, Shane brings over a decade of experience bridging technology, data stewardship, and business outcomes. His work spans designing unified metrics for data governance and trust, establishing metadata management practices, and guiding organizations through their data governance maturity journey. Known for translating complex concepts into actionable roadmaps, Shane is passionate about helping stewardship teams, analysts, and architects operationalize governance in ways that generate measurable value.
Become a DATAVERSITY Insider when you subscribe and gain access to a host of special content.