Data Governance and Quality Topic Stream

Practical guidance on data governance and quality practices for U.S. banking, aligning policy, controls, and documentation to support auditability, compliance, and reliable AI decisioning.

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Data Governance and Quality
A practical article on trusted numbers, ownership, reporting consistency, lineage, and AI readiness.
Open Banking and Data Sharing
How data access, consent, and API control depend on strong governance and quality discipline.
Risk and Resilience
How data control and documentation affect resilience, audit readiness, and regulatory scrutiny.

Information Briefs

BCBS 239 Data Governance as a Feasibility Test for Trusted Numbers

January 1, 2026

BCBS 239 Data Governance as a Feasibility Test. Clarifies control priorities, resilience requirements, and practical risk-reduction actions for banking leaders.

Semantic Layers in Banking: Exposing Data, Analytics, and AI Readiness Gaps

January 1, 2026

Semantic Layers in Banking: Exposing Data. Clarifies control priorities, resilience requirements, and practical risk-reduction actions for banking leaders.