Analysis of Design Implementation Guidelines for Data Governance Management Based on DAMA-DMBOKv2

Every decision is key to helping companies make the best solutions and choices based on quality data. The more data a company processes or owns, the more optimized the use of the activities and all controls it implements to regulate and control activities related to the data. Most importantly, data governance is managing data assets and licenses, including the initial planning, monitoring, and implementation processes. This research focuses on designing data governance guidelines based on DAMA-DMBOKv2. The DAMA-DMBOK framework will become a popular course in data governance in education and enterprise. This requires an approach that begins by defining detailed data management processes. Designing a process guideline requires assessing whether the process is suitable for implementation and credible within the company. This research is essential to help businesses and organizations improve data quality, make decisions, and manage data more efficiently.