What is the primary goal of the Data Governance Framework?

The primary goal of the Data Governance Framework is to ensure effective decision-making and accountability. This framework establishes clear policies, procedures, and responsibilities for managing data assets within an organization. It helps ensure that data is accurate, available, and secure, enabling organizations to use their data effectively to inform strategic decisions.

By implementing a robust data governance framework, organizations can create a culture of accountability regarding data management. This involves defining roles and responsibilities, ensuring compliance with regulations, and improving data quality, all of which lead to better decision-making processes. A strong data governance framework empowers stakeholders at various levels, ensuring that data is treated as a valuable asset that contributes to the organization’s overall objectives.

While enhancing data storage capacity, facilitating data archiving procedures, and increasing data processing speed are important aspects of data management, these are more tactical in nature and serve as means to achieve the broader goal of effective governance and accountability in how data is managed and utilized. Thus, the focus of a Data Governance Framework is primarily on fostering a structured approach to data management that aligns with business objectives and promotes trust in data as a resource for decision-making.