Reflecting Business Reality : Participation in Data Modeling

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About Course

Data Governance professionals and Data Stewards participate in data modeling even when Data Modelers or Data Architects own the formal modeling work. This course shows how you can provide the business input those specialists need: scoped concepts, validated relationships, business rules, examples, exceptions, and traceable decisions.
You will work from data-domain scope and business questions into relationship validation, rule validation, and concept mapping. The course then shows how those validated inputs support semantic, conceptual, and logical models while keeping formal modeling decisions with the modeler.
The practical focus is on your contribution: clarifying business meaning, involving Business Subject Experts, coordinating ownership and decisions, preserving traceability, and challenging whether the resulting model still reflects business reality.

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What Will You Learn?

  • Scope business concepts within data domains.
  • Validate business relationships, cardinality, and optionality.
  • Define and validate business rules and exceptions.
  • Develop and validate business concept maps.
  • Prepare traceable business input for data modelers.
  • Support semantic, conceptual, and logical modeling through business validation.

Course Content

Business Semantics for Data Models
This topic shows how business meaning is prepared before formal data modeling begins. You will scope relevant concepts from data domains, validate how those concepts relate, and clarify the business rules that govern those relationships. The outputs become traceable business input for the data modeler.

  • Scoping Concepts from Data Domains
    13:55
  • Conceptual Understanding
  • Analytical Thinking
  • Defining and Validating Relationships
    19:37
  • Conceptual Understanding
  • Analytical Thinking
  • Defining and Validating Business Rules
    18:58
  • Conceptual Understanding
  • Analytical Thinking

Concept Mapping
This topic brings validated business concepts, relationships, and rules into a shared concept map and shows how the results support formal data modeling. It covers map scope, structure, readable propositions, cross-links, annotations, and collaborative validation. It then examines how validated business input supports semantic, conceptual, and logical models through traceable handover and review.

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