Data Governance Design with the DAMA-DMBOK Framework (Case Study: PT. XYZ)

In the rapidly evolving digital era, the future sustainability of organizations depends on data and information as crucial elements in every aspect of operations, from understanding customers to developing products and setting strategic directions. PT XYZ, as a company engaged in trading goods/services, recognizes that data has very important value, and becomes a basic element and strategic asset in the decision-making process at the management level. This research aimed to obtain data governance design to the company's conditions by evaluating current data management, identifying data management needs, and formulating data governance design recommendations that align with PT XYZ's needs. This involves outlining the needs and conditions through internal policies, such as strategic plans, organizational structure, job descriptions, and established management procedures within the company. In addition, this approach also identifies data problems through maturity level measurements, analysis of measurement results, and gap analysis. By considering these aspects, the gaps that exist in data management within the company can be identified. It can help formulate a data governance design that meets the company's needs and business objectives based on the Data Management Body of Knowledge (DAMA DMBOK) guidelines. Keywords: DAMA DMBOK, Data Design, Data Governance, Data Management, Maturity Levels.