Abstract
AbstractTo deal with an organization’s essential data as a single coherent system, Master Data Management is essential. It links all the critical data as a unified version of truth known as “Master data”. It is responsible for data sharing, integration, analytics and decision making. The quality of business intelligence, analytics, and AI depends upon Master data management. A maturity model can be used to test the effectiveness of Master Data Management program in an organization. In the present research, a case organization has been considered to assess master data’s maturity level using Spruitz–Pietzka’s maturity model. The considered model consists of 13 focus areas and five key topics. Each focus area consists of packed capabilities used to determine the maturity of master data. The findings showed among 62 applicable capabilities, 44 (70.96%) are applied and 18 (29.03) are absent. Thus, on the basis of applied capabilities, overall maturity level is taken as 1. Hence, an organization can accomplish higher development by implementing missing capabilities.KeywordsMaster data management (MDM)Maturity levelsMaster data management maturity model (MD3M)
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