Fundamentals of Business Intelligence (FBI) Practice Exam 2025 – Your All-in-One Guide to Mastering Business Intelligence!

Data governance focuses on the oversight of data availability, usability, integrity, and security, which are all critical components for effectively managing and utilizing data within an organization. This concept ensures that data is managed correctly throughout its lifecycle and that it is both reliable and accessible for decision-making.

In practical terms, data governance involves establishing policies, standards, and procedures that dictate how data is handled. This includes ensuring data accuracy and consistency across various systems, maintaining proper access controls to protect sensitive information, and making data readily available for those who need it while safeguarding against unauthorized use. This composite approach is essential for fostering trust in the data used for analysis and business intelligence activities.

While other options may involve aspects of data management, they do not encompass the broader, holistic focus of data governance, which integrates multiple dimensions of data management rather than concentrating on a singular element. For example, managing marketing data is just one subset of an organization's overall data landscape, and focusing solely on data extraction processes ignores the importance of data quality and security. Similarly, while storing and archiving data is important for retention and regulatory compliance, it does not address the full scope of governance practices that ensure data remains valuable and trustworthy for the organization.