Data Governance is the exercise of ___________ and ____________ over the management of the data assets.

The concept of Data Governance revolves around establishing a framework that ensures data is managed properly, keeping both its quality and integrity intact. The terms "authority" and "control" directly encapsulate the essence of Data Governance because they emphasize the need for strategic oversight in managing data assets.

Authority refers to the designated power and responsibility that an organization allocates to specific individuals or groups for decision-making related to data management. This ensures that the processes and standards for handling data are adhered to and maintained across the organization.

Control involves the implementation of policies, standards, and procedures that guide how data is collected, stored, processed, and shared. It ensures that data assets are utilized efficiently and securely while overseeing compliance with relevant regulations and organizational rules.

Together, authority and control foster an environment where data can be trusted, thus maximizing its value and ensuring that stakeholders can rely on it for decision-making.

In contrast, the other options present components that do not fully capture the core functions of Data Governance. Monitoring and communication can be part of the governance process but do not convey the foundational power dynamics involved. Accomplishment and issue resolution focus more on outcomes rather than the systematic control of data practices. Planning and supervision also imply aspects of governance but lack the definitive sense of governance authority