Master data is required as a reference to perform data processing. The primary purpose of Master Data Management is to ensure that the master data reflects the current state of the business. However, many companies do not have a data management strategy, especially large companies which have large amounts of data. Master Data Management Maturity Model (MD3M) can be used to conduct an assessment of the maturity of the MDM in a company. The purpose of this research is to measure the maturity of the existing master data management at PT XYZ using Master Data Maturity Management Model (MD3M). This research used MD3M model by Spruit and Pietzka which has five key topics and 13 focus areas. A questionnaire is used to identify the level of master data management maturity. The questionnaire contains two sets of questions. The first set of questions tests the influential factors, and the second set of questions is about the capabilities to be assessed. The Subject Matter Experts (SMEs) who has a position as manager and Settlement Service Department and Reporting Department staff will answer the questionnaire given. The questionnaire will be mapped into a matrix to identify the maturity level. Measurement conducted in this study showed that the level of maturity at PT XYZ is 0, even though the findings in this study found that 54 out of 65 capabilities have been implemented that is equal to 83%. This is because the maturity level in the key topic data quality is still 0 (zero). By improving the capabilities that have not been implemented, the organization will achieve a higher level of maturity.