Then add a short explanatory paragraph:

A Conceptual Data Model establishes the major business concepts and how they relate before detailed subject-area modelling begins. Significant many-to-many relationships should normally be resolved into meaningful associative entities where the relationship itself represents a business concept, role, event or lifecycle. Unresolved M:M relationships may be useful during discovery but should not normally remain in the governed enterprise model.

And perhaps one final sentence tying it directly to Kanban Architecture:

In Human–AI Kanban Architecture, the Conceptual Data Model is the enterprise highway map from which mind-sized L3 subject areas are pulled for detailed Gemba validation.

Related glossary items

• 📝 Common Data Model
• 📝 Data Ownership
• 📝 Kanban Architecture
• 📝 Human–AI Knowledge Base Development

Follow the Idea

• Source Note — Kanban Architecture
• Source Note: Common Data Models and Organisational Meaning
• Subject Area: Data Modelling — Negotiating Meaning
• Subject Area — Human–AI Kanban Architecture
• Subject Area – Enterprise Architecture & Operating Model
• Subject Area: Guided Human–AI Collaboration