Governance Model
Data Governance is defined as the exercise of authority and control (planning, monitoring and enforcement) over the management of data assets.
DAMA
As with any Governance model you first need to determine the governing bodies or otherwise known as committees and their responsibilities and interactions. To keep it simple at a minimum you would need three committees or bodies of individuals to ensure success .
| Steering Committee | The top authority body for data governance in an organization, responsible for oversight, and funding of all data governance activities. Typically consists of a cross-functional group of senior executives. The steering committee also drives the vision and strategy. |
| Data Governance Council | Manages all the data governance initiatives and responsible for the development of policies, standards and metrics, resolve issues, and escalations. Consists of departmental leaders who have ownership of data that is primarily used and or created by the department. |
| Data Governance Operations | Communities of interest focused on one or more specific subject-areas or projects. Consists of business and technical data stewards. Responsible for creating and managing the core metadata (business terminologies, glossaries, dictionaries and valid data values), identifying and managing data quality issues and executing the data governance activities (adherence to the policies, standards set by the Data Governance Council). |
Centralized Data Governance Organization
One governance organization for the enterprise and data domains.
Replicated Data Governance Organization
The governance organization is replicated across the different business units and operate independently. Note there might be certain data domains that are unique to the specific business unit.
Federated Data Governance Organization
A central data governance organization coordinates with multiple business units. In this case the data governance operations is within each business unit and operate independently.
In the next post, let’s discuss about the different data owner and stewardship models.