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Data Governance Operating Model Framework
The Data Governance Operating Model establishes the foundation for all your data stewardship and data management activities.
It can be subdivided into three categories each addressing a key design question.
- 'What is to be governed?' in terms of Structural Concepts:
- 'How is it to be governed?' in terms of Execution and Monitoring Concepts:
- 'Who governs it?' in terms of Organizational Concepts:
Data Governance Operating Model Design Procedure
The DG Operating Model Design Procedure (OMDP) brings us answers to these 'what/how/who' questions in a step-wise procedure with measurable deliverables.
The OMDP procedure consists of the following steps:
- Divide the universe of discourse into manageable subareas.
- Apply the OMDP to each subarea.
- Integrate the resulting sub-models into a global operating model.
For each subarea, the operating model design procedure is performed in following steps.
- OMDP Step 1 - Transform Familiar Examples into Asset Types, Attribute Types and Relation Types
- OMDP Step 2 - Validate the Identified Types with Other Examples
- OMDP Step 3 - Check for Types to be Combined
- OMDP Step 4 - Add Constraints and Validation Rules
- OMDP Step 5 - Determine Status Types for all Identified Asset Types
- OMDP Step 6 - Determine Role Types for all Identified Asset Types
- OMDP Step 7 - Design and Implement Execution and Monitoring Workflows
- OMDP Step 8 - Identify Communities and Domains
Dividing the universe into manageable subareas can be done in different ways:
- Take a slice - 'steel thread' of the whole data governance case as subarea, and extend it gradually with new business domains.
- Take a business case - such as business glossary - as a subarea, and leverage that result with other business cases such as reference data.
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