Designing a Robust Data Governance Architecture
The article explains how a data governance system integrates IT and business knowledge through coordinated processes, policies, standards, and organizational structures to ensure data effectiveness, accessibility, high quality, consistency, auditability, and security across the enterprise.
Data governance is described as a system focused on the execution layer of information systems, aiming to integrate IT and business department knowledge and opinions. By effectively combining processes, policies, standards, and organizational structures, the system provides comprehensive oversight of enterprise information construction, requiring senior authorization and close collaboration between business and IT units. Its goals are to guarantee data effectiveness, accessibility, high quality, consistency, auditability, and security.
Establishing a data governance framework supports the construction and implementation of an enterprise data management system. It optimizes dispersed and diverse core data through techniques such as standardization, quality profiling, cleansing, integration, and monitoring, thereby forming an internal data governance structure. Aligned with the organization’s hierarchy, this structure creates a data control execution system that operates continuously within the enterprise, enhancing and extracting value from master data.
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