From MIKE2 Methodology
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Data Governance Policies are defined based on the requirements. Whilst they are at an overarching level, these policies are at the next level down from Guiding Principles and can be translated into something than can be measured and implemented.
Data Stewards and Data Owners will be the key personnel developing these policies; the Data Governance Steering Committee will be responsible for review and sign-off.
Examples
Listed below are example Data Governance Policies:
Example for a Data Governance Policy
Data policies provide strategic and operational direction to the enterprise. Data policies recognize that corporate data is a critical corporate resource and will be managed as such. A clearly articulated enterprise-wide data quality policy provides the framework for decision-making.
| Role
| Responsibilities
| Staff from
| Time Commitment
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| Executive Sponsor
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- The Executive Sponsor sets initial direction and goals for the program.
- In an ongoing basis, the Executive Sponsor approves information policy and tracks the progress of quality initiatives compared to target plan.
| Senior Exec. From Bus or Technology
| < 5%
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| Data Quality Leader (DQL)
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- The DQL provides day to day leadership over the DQM program.
- The DQL has significant data management expertise and is deeply involved in all aspects of the program while also participating in the Data Governance Board and Executive Steering Committee.
- Focal point for coordinating Data Owners and Data Stewards.
- Owner of scorecard process and execution. Provide scorecard feedback to all involved parties
- Ensures execution of policies and strategies of the Data Governance Board and Steering Committee.
- Review and prioritizes projects, determine funding needs and requests funding approval from the Data Quality Steering Committee
| New Position
| Full Time, May need staff support as governance grows
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| Data Governance Board
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- Data Governance Board develops and monitors an overall strategic plan for enterprise wide data quality improvement.
- Sponsors approve, prioritize and champion for data quality initiatives for all systems, LOBs and functions.
- Ensures scheduling and resource allocation. Provide data quality feedback and progress.
- Communicates with business segments to ensure expectations for data quality initiatives are in-line
- Ensure resolution of escalated issues.
| DQL, Data Stewards, Executives
| Quarterly Adhoc meetings as needed
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| Executive Steering Committee
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- Responsible for developing Data Quality strategy and policies, as well as leadership/supervision for the overall program.
- Active working committee of the Data Governance board. Accountability for executing Gov Board responsibilities.
- Provide periodic data quality updates to the senior management
- Estimates high level funding needs, requests budget from the executive sponsor and approves data quality initiatives
| Staff from Divisions/ Functions and Enterprise Data Arch.
| Monthly
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| Enterprise Data Architect
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- Provides single point of architectural coordination for all enterprise data related approved initiatives
- Focuses on planning for infrastructure efficiencies, and linkage, cleansing and usage of data, ensures implementation of remediation and the priority of issues
- Ensures compliance/execution of the data governance program policies, processes and procedures across data stewards
- Reconciliation, re-creation, Data Definition design and maintenance
| TBD
| Full Time
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