Data Governance is the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation, creation, storage, use, archival and deletion of data and information. It includes the processes, roles, standards and metrics that ensure the effective and efficient use of data and information in enabling an organization to achieve its goals.
The main goals and objectives of data governance include:
Define, approve, and communicate data strategies, policies, standards, architecture, procedures, and metrics
To track and enforce conformance to data policies, standards, architecture and procedures
To sponsor, track, and oversee the delivery of data management projects and services
To manage and resolve data related issues.
To understand and promote the value of data assets
Strategic Planning
Determine enterprise data needs and data strategy and
Understand and asses current state data management maturity level
Establish future state data management capability, data professional roles, organizations, data asset value and associated costs.
Develop and approve data policies, standards, and procedures.
Plan and sponsor data management projects and services
Ongoing Control
Coordinate data governance activities also
Manage and resolve data related issues
Monitor and enforce conformance with data policies, standards, and architecture
Communicate and promote the value of data assets
Key Metrics
Data value and
Data management cost
Achievement of objectives and
Number of decisions made
