Classical dimensional models and Power BI semantic models are excellent at reporting the past but struggle with real-time signals, causal reasoning, and shared business meaning across apps, AI, and BI. In this session we show how to augment your existing star schemas with three additive layers in Microsoft Fabric: Eventhouse for real-time events, a Lakehouse, and ontologies that encodes rules such as "at-risk shipment" and "delay cause". Ontology-derived outputs feed back into Power BI as familiar fact tables, and Copilot and Data Agents can turn them into natural-language explanations. Start seeing improvement to your existing data stack, without feeling as if you need to reinvent the wheel.