Data quality dimension in accordance with the DMBoK framework.

Especially when introducing complex and impactful measures, working with releases based on a release plan and a structured method of implementation is necessary.

In this example you see how you can create a score for the data qualities for data domains or entities. This can be done for both the current and the desired situation.

A measure of a technical nature, business process, work instruction or awareness so that sufficient quality is achieved.

Data or information management principles set frameworks for change in the organization, often within projects within the data roadmap. Elaborated in the selection of existing standards such as DMBoK, ArchiMate. The frameworks are developed on the basis of principles based on the principles within the enterprise architecture.

Elaboration of the conceptual data entities including names, definition and synonyms. Can be grouped into a domain.