Data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance include availability, usability, consistency, data integrity and data security and include establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality. Taskdata is ready to implement DG using the following approaches:
- Strategy: Defining, communicating, and driving execution of Data Strategy and Data Governance Strategy
- Policy: Setting and enforcing policies related to data and Metadata management, access, usage, security, and quality
- Standards and quality: Setting and enforcing Data Quality and Data Architecture standards
- Oversight: Providing hands-on observation, audit, and correction in key areas of quality, policy, and data management (often referred to as stewardship)
- Compliance: Ensuring the organization can meet data-related regulatory compliance requirements
- Issue management: Identifying, defining, escalating, and resolving issues related to data security, data access, data quality, regulatory compliance, data ownership, policy, standards, terminology, or data governance procedures
- Data management projects: Sponsoring efforts to improve data management practices
- Data asset valuation: Setting standards and processes to consistently define the business value of data assets
To accomplish these goals, Taskdata will develop policies and procedures, cultivate data stewardship practices at multiple levels within the organization, and engage in organizational change management efforts that actively communicate to the organization the benefits of improved data governance and the behaviors necessary to successfully manage data as an asset.