How Does Enterprise Architecture Address Data Governance and Data Quality?

Enterprise Architecture (EA) helps establish a consistent, enterprise-wide approach to managing data as a strategic asset. It connects business requirements with data ownership, standards, technology and governance.

EA supports data governance and quality by:

• Defining data ownership and accountability — clarifying who is responsible for important data domains.
• Establishing common data standards — creating consistent definitions, formats and classifications across systems.
• Reducing data duplication — identifying multiple sources of the same information and promoting authoritative sources.
• Improving data quality — embedding requirements for accuracy, completeness, consistency, timeliness and integrity.
• Managing data flows — showing where data is created, transformed, stored and consumed.
• Supporting security and compliance — incorporating privacy, access controls, retention and regulatory requirements into the architecture.
• Enabling better decision-making — creating trusted, accessible data for reporting, analytics and AI.

Ultimately, EA helps organisations move from fragmented and inconsistently managed data to governed, trusted and reusable information, improving operational efficiency, compliance and business decision-making.