Data Governance Framework Examples: 5 Models for Different Industries
Blog post from Soda
A data governance framework serves as an operational model that outlines ownership, quality standards, and maintenance of data across various industries, each requiring a tailored approach due to differing regulatory requirements, data types, and risk profiles. The document presents five industry-specific examples—healthcare, financial services, retail and e-commerce, manufacturing and supply chain, and public sector and government—highlighting that while core components such as decision rights, roles, policies, processes, technology, and metrics remain constant, the priority order shifts based on industry-specific needs. For instance, healthcare frameworks emphasize PHI privacy and patient safety, whereas financial services focus on data lineage and regulatory reporting accuracy. Each framework follows a structured five-part format to facilitate comparison and customization, encouraging organizations to adapt these examples by incorporating specific regulatory obligations and data domains relevant to them. Operationalizing these frameworks with tools like Soda can transform them from theoretical plans into practical, enforceable governance mechanisms, ensuring data quality and compliance in production environments.
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