In this episode of The Data Journey, Roland Brown builds on Episode 8 (*Logical vs Physical Models*) and introduces Data Modelling 2.0 — a modern approach that adds a semantic layer of meaning and context. He explains how physical, logical, and semantic layers together describe where data lives, how it’s structured, and what it means.

Through real-world scenarios and practical steps, Roland shows how ontology-driven design bridges technical and business understanding, strengthening governance and AI trust.

The episode underscores that ontology doesn’t replace modelling — it completes it by adding meaning to structure.

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### 5 Key Takeaways

1️⃣ Episode 8’s foundation still holds: logical and physical alignment build trust.

2️⃣ The semantic layer adds context — it makes data understandable, not just accessible.

3️⃣ AI and governance depend on shared definitions and consistent language.

4️⃣ Semantic stewardship is as important as data stewardship.

5️⃣ Ontology turns data models into maps of meaning that scale trust and insight.

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