What practice involves making decisions about data quality, usage, and management?

The practice that involves making decisions about data quality, usage, and management is data governance. This concept encompasses the overall management of data availability, usability, integrity, and security within an organization. Data governance establishes the policies, standards, and procedures for ensuring that data is accurate, consistent, and trustworthy, which is essential for making informed decisions.

In data governance, stakeholders define roles and responsibilities related to data, oversee data management strategies, and implement measures to ensure compliance with regulations and standards. This holistic approach not only helps maintain data quality but also maximizes the value derived from data assets by ensuring that data is effectively managed and utilized across the organization.

Other options, while related to data management, focus on different aspects. For instance, data ownership pertains to the accountability assigned to individuals or teams for specific datasets, emphasizing responsibility rather than governance. Data modeling involves creating representations of data structures to fulfill business requirements, which is a more technical and design-oriented task. Data architecture refers to the framework for managing data assets, including how data is stored, accessed, and integrated across systems, but does not encompass the broader strategic oversight that governance encompasses.