Which of the following is NOT one of the goals of data governance?

Which of the following is NOT one of the goals of data governance?

• A. Measurable
• B. Embedded
• C. Sustainable
• D. Transformational

Answer: (D)

In the context of data governance, the primary goals focus on establishing a framework for managing data effectively to ensure that it is secure, accurate, and accessible. The correct choice highlights that "transformational" is not traditionally viewed as a fundamental goal of data governance, while the other options are integral to its principles. Measurable aspects of data governance ensure that progress can be tracked against defined metrics, allowing organizations to quantify the effectiveness of their governance strategies. This could include indicators related to data quality or compliance. The goal of being embedded refers to integrating data governance into the organization's culture and operational framework, making it a vital part of everyday processes rather than a separate or isolated function. This integration helps sustain the long-term effectiveness of governance practices. Sustainability is another critical goal, as data governance frameworks require ongoing commitment and resources to adapt to changing data landscapes and business needs. Sustainable governance practices ensure that data management standards and policies remain relevant and can effectively evolve over time. In contrast, while transformation can be a desired outcome of effective data governance—leading to improved data practices and business processes—it is not a defining goal in itself. The focus remains on consistency, accountability, and effective management rather than on transformative changes, which can be seen as a broader aim

In the context of data governance, the primary goals focus on establishing a framework for managing data effectively to ensure that it is secure, accurate, and accessible. The correct choice highlights that "transformational" is not traditionally viewed as a fundamental goal of data governance, while the other options are integral to its principles.

Measurable aspects of data governance ensure that progress can be tracked against defined metrics, allowing organizations to quantify the effectiveness of their governance strategies. This could include indicators related to data quality or compliance.

The goal of being embedded refers to integrating data governance into the organization's culture and operational framework, making it a vital part of everyday processes rather than a separate or isolated function. This integration helps sustain the long-term effectiveness of governance practices.

Sustainability is another critical goal, as data governance frameworks require ongoing commitment and resources to adapt to changing data landscapes and business needs. Sustainable governance practices ensure that data management standards and policies remain relevant and can effectively evolve over time.

In contrast, while transformation can be a desired outcome of effective data governance—leading to improved data practices and business processes—it is not a defining goal in itself. The focus remains on consistency, accountability, and effective management rather than on transformative changes, which can be seen as a broader aim