Problem When customers open Fabric ontology for the first time, they face a blank canvas. They have to design entity types, properties, relationships, and naming conventions from scratch — often without a clear reference for what "good" looks like in their domain. This design phase alone can take weeks of workshops before any technical work begins. For most enterprises, the patterns are well-known — a retail ontology has Customer, Product, Order, Store, Inventory; a manufacturing ontology has Asset, WorkOrder, Site, Material. Customers are reinventing the same models, slowly and inconsistently. What would help Ship a starter library of sample / template ontologies for common industry domains: Retail Manufacturing Supply Chain Financial Services Healthcare Sustainability / ESG HR / Workforce Sales / B2B Even read-only reference templates (entity types, properties, relationships, sample queries) would be valuable. Importable starter ontologies that customers can instantiate and then bind to their own data would be even better. Microsoft already has this domain expertise through Common Data Model, Dynamics 365 industry data models, and Industry Clouds — extending those into Fabric IQ would be a natural fit. Why it matters Removes the "blank canvas" problem and shortens design time from weeks to hours Provides Microsoft-validated patterns customers can trust Accelerates Fabric IQ and data agent adoption — a templated ontology plus Copilot can produce a working agent in a day Impact Templates lower the barrier to entry for ontology, especially for customers who know their data but aren't sure how to model it semantically. Combined with stronger creation paths (automation from lakehouse), this would make Fabric IQ approachable for any enterprise, not just those with existing semantic modeling expertise.
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