An integrated data governance model based on Dama-Dmbok for Vietnamese banks: From architecture design to implementation feasibility

Abstract

Data governance (DG) is a foundational capability that improves banks’ operational efficiency and competitiveness; however, many Vietnamese commercial banks still implement DG in a fragmented and poorly coordinated manner due to fragmented infrastructure, limited resources, and compliance pressures. This study proposes an integrated DG model grounded in the DAMA-DMBOK framework and tailored to the Vietnamese context, emphasizing metadata and data lineage. The model comprises three components: (i) a target-state data architecture; (ii) an organizational and decision-rights structure with the roles of Chief Data Officer (CDO), Data Steward, and Business Data Owner; and (iii) end-to-end DG processes across the data lifecycle with embedded compliance controls. Validation through an embedded case study of three banks and triangulation of internal data and documents indicates improved data quality (reduced duplication and increased completeness) and enhanced management reporting effectiveness. The study contributes a phased DG design operationalized through metadata/lineage mechanisms and scalable across the Vietnamese banking system.