What defines the ownership aspect of data governance in MDM?

What defines the ownership aspect of data governance in MDM?

• A. Who manages data backups
• B. Who is responsible for data quality
• C. Who controls data storage
• D. Who conducts data analysis

Answer: (B)

The ownership aspect of data governance in Master Data Management (MDM) is fundamentally concerned with accountability for data quality. Data quality refers to the accuracy, completeness, and reliability of data, which are critical components of effective data governance. In MDM, ownership involves assigning clear responsibilities to individuals or teams for maintaining the integrity and quality of the master data. This means defining who is accountable for validating, updating, and ensuring that the data meets usage standards—all crucial to successful data-driven decision-making. By having designated data quality owners, organizations can foster a culture of accountability and clearly delineate responsibilities, which can significantly enhance the overall quality of data used throughout the organization. While the other options may relate to aspects of data management, they do not encapsulate the essence of ownership in the context of data governance in MDM. Managing backups, controlling storage, and conducting analysis are important functions but do not directly address the governance and accountability surrounding data quality, which is pivotal to the success of MDM initiatives.

The ownership aspect of data governance in Master Data Management (MDM) is fundamentally concerned with accountability for data quality. Data quality refers to the accuracy, completeness, and reliability of data, which are critical components of effective data governance.

In MDM, ownership involves assigning clear responsibilities to individuals or teams for maintaining the integrity and quality of the master data. This means defining who is accountable for validating, updating, and ensuring that the data meets usage standards—all crucial to successful data-driven decision-making. By having designated data quality owners, organizations can foster a culture of accountability and clearly delineate responsibilities, which can significantly enhance the overall quality of data used throughout the organization.

While the other options may relate to aspects of data management, they do not encapsulate the essence of ownership in the context of data governance in MDM. Managing backups, controlling storage, and conducting analysis are important functions but do not directly address the governance and accountability surrounding data quality, which is pivotal to the success of MDM initiatives.