Data Governance refers to the practices and policies that ensure the proper management, quality, and security of data across an organization. In industrial settings, data governance is critical as industries generate vast amounts of data that need to be managed effectively to ensure accuracy, compliance, and usability. 

The Data Management Body of Knowledge (DMBOK) is a framework that provides best practices for data governance, covering areas such as data quality management, data security, metadata management, and data lifecycle management. For industrial organizations, implementing a DMBOK-aligned data governance strategy ensures that data is treated as a valuable asset, with standardized practices that ensure its reliability and security. 

With effective data governance in place, industries can improve data accessibility, compliance, and overall decision-making, driving greater value from their information assets.