The lack of clear definitions is the Achilles heel of data quality. The unequivocal understanding of information received from another party depends on the establishment of a common language, with terms and meanings shared in consensus. Concept Modeling is the right technique to create this shared vocabulary.
A concept model starts with a glossary, which usually focuses on the main noun concepts in a domain, and goes on to define the verbs that relate these nouns. Concept models value high quality definitions, independent of design and are free from data modeling or implementation bias. They serve as the basis for mutual understanding and provide the foundation for the application of other business analysis, equirements modeling and business rules techniques.
A concept model identifies the correct choice of terms to use in communications. It is especially important when precise and fine distinctions are needed.
Key objectives:
- Apply a technique capable of collecting knowledge and obtaining consensus among stakeholders from different areas on the main terms related to the business.
- Define the business vocabulary that will be used in requirements, business rules, and data models.