HOW to do DG
- the preposition
The dimension How to do DG structures syntactics, semantics, and pragmatics towards well understood and shared business glossaries. Such glossaries represent a structure of verbalized intentions.
Syntactics and sematics serve pragmatics. This is core of the data governance that I am representing. Pragmatical tendency calls for a coordinated orchestration of DG processes that encompasses DQ and DC.
Adjustments are sustained by glossarization, modelization, meshization, DMAICization, and FAIRification.
HOW to do DG
- the proposition
The DG roadmap visualizes the process of rules and principles establishing a robust data governance. It is demonstrated by the phases 1-7. These phases help to achieve the status of a solid governance and trust in data and its citizens in the orchestra. DG finally contributes together with DQ and DC to overall credibility.
- Analysis: Assess the level of Data Governance
- Verbalization: Design a transversal schema of a business glossary
- Concatenation: Absorb the semantic to a canonically logic schema
- Release: Create physical data fields and configure constraints
- Vocabulary: Fill the physical schema with vocabulary / data records
- Data Entry Guide: Support People, Tools, Processes - PTP - with data entry guidelines
- Governance: Implement + orchestrate a data managing organization
This approach is representational and can lead to acknowledged competencies in data organizations.
Know-how:
"Create a robust orchestra of data processes"
