According to the DAMA-DMBOK model, data governance exercises authority, control, and shared decision-making about data management. Data management develops, executes, and supervises plans, policies, programs regarding the maintenance of data assets and supporting their lifecycle.What is data management and governance?
Data management develops, executes, and supervises plans, policies, programs regarding the maintenance of data assets and supporting their lifecycle. The DCAM model votes that data governance set up rules for data management.What is the difference between Dama-dmbok and DCAM?
Have a look, for example, at the component ‘data governance’. DAMA-DMBOK considers data (management) strategy, business case, data management programs as deliverables of the data governance function. DCAM recognizes them as separate components of data management11. So, DAMA-DMBOK and DCAM discrepancies really exist.Should data governance be a separate function?
Conclusion: Any general talk about data governance or its consideration as a separate function has no sense. All deliverables of data governance such as rules and roles depending on the definition, scope, and constituent components of data management. References DAMA International. DAMA-DMBOK: Data Management Body of Knowledge, Second Edition.