Data governance framework
Data governance framework definition
A data governance framework is a set of policies, procedures, standards, and guidelines that define how an organization manages its data assets. It provides a structured approach for managing data throughout its lifecycle, from creation and collection to archival or disposal.
The framework outlines the roles and responsibilities of data stakeholders, including data owners, stewards, custodians, and users. It also defines the processes and procedures for data classification, quality management, security, privacy, retention, and access control.
The data governance framework ensures that an organization’s data is accurate, complete, consistent, and secure. It helps to establish a culture of data-driven decision-making, reduce data-related risks, and improve the effectiveness and efficiency of data management procedures.
See also: data logging, data segregation
Data governance framework users
- Executive leaders use it to establish policies, allocate resources, and set priorities for managing an organization’s data assets.
- Data owners use it to define data requirements, ensure data quality, and establish accountability for data-related decisions.
- Data stewards use it to manage and maintain data assets, including defining data standards, monitoring data quality, and resolving data-related issues.
- Data custodians use it for data management, including data storage, security, and access control.
- Business users use it to access and utilize data assets, ensuring that data is available, accurate, and relevant for decision-making.
