Published Paper Details:

Business Intelligence (BI) platforms succeed only when users trust the data behind them, yet many organizations struggle with inconsistencies caused by siloed Master Data Management (MDM) and Data Warehousing (DW) systems. This article explores how governance-driven architectures can unify MDM and DW to deliver trustworthy analytics across BI platforms such as Power BI, Tableau, and Qlik. It begins by clarifying the complementary roles of MDM and DW, then highlights the risks of siloed implementations that lead to duplicate records, inconsistent KPIs, and reduced user confidence. The article argues that governance serves as the unifying force, providing accountability, metadata management, and compliance frameworks that ensure consistency across platforms. A case study demonstrates how a global enterprise unified its MDM and DW to eliminate inconsistencies and improve BI adoption. The article concludes by exploring future directions such as AI-driven governance, metadata-driven architectures, and real-time unification.