Master Data Management (MDM) is best described as:

Master Data Management (MDM) is best described as:

• A. The disciplines, technologies, and methods used to ensure the currency, meaning, and quality of reference data within and across subject areas.
• B. A cloud storage protocol.
• C. A marketing data model.
• D. Data migration management.

Answer: (A)

Master Data Management focuses on the core business entities shared across the organization, ensuring there is one accurate, current, and well-defined version of these reference data across all systems. It blends governance, data quality practices, data integration, and master data repositories to create golden records and maintain consistency in meaning and format (codes, attributes) across domains like customers, products, and suppliers. Currency means the data is up to date; meaning means semantic consistency across apps; quality means accuracy, completeness, and validity. By coordinating across subject areas, MDM prevents silos and inconsistencies that arise when different systems define the same entity differently. It’s not simply cloud storage, not a marketing data model, and not just data migration management, which is about moving data between systems. Therefore, this description best captures the discipline, technologies, and methods used to keep reference data current, meaningful, and high quality across the organization.

Master Data Management focuses on the core business entities shared across the organization, ensuring there is one accurate, current, and well-defined version of these reference data across all systems. It blends governance, data quality practices, data integration, and master data repositories to create golden records and maintain consistency in meaning and format (codes, attributes) across domains like customers, products, and suppliers. Currency means the data is up to date; meaning means semantic consistency across apps; quality means accuracy, completeness, and validity. By coordinating across subject areas, MDM prevents silos and inconsistencies that arise when different systems define the same entity differently. It’s not simply cloud storage, not a marketing data model, and not just data migration management, which is about moving data between systems. Therefore, this description best captures the discipline, technologies, and methods used to keep reference data current, meaningful, and high quality across the organization.