Ontology Playground (Preview) | Interactive Ontology ExplorerProblem
Intech Systems customer , a global electronics and assembly manufacturing enterprise built a modern analytics foundation using Microsoft Fabric integrated with Dynamics 365 Finance & Operations. Rich, visually appealing dashboards were created across Sales, Finance, Inventory, Warehouse, Production, and Procurement, providing comprehensive operational visibility.
Yet, a fundamental challenge remained unresolved.
Business users—especially sales teams—found it difficult to extract insights quickly. Answering even straightforward business questions required navigating multiple dashboards, applying filters, and understanding report structures. While the analytics capability was powerful, the user experience demanded too much technical interaction for frontline decision‑makers.
The root of the problem was a language gap.
Sales users think in terms of customers, pipelines, regions, orders, and revenue. However, the data was structured around ERP tables, fields, and technical nomenclature. This mismatch between business thinking and data representation slowed adoption, limited self‑service, and reduced the real‑time impact of analytics in critical business moments.
The organization needed a way to let users interact with data using business language—not dashboard mechanics.
Why Fabric IQ – Ontology
Fabric IQ Ontology closes the gap between raw data and business thinking.
Instead of forcing sales teams to understand tables, schemas, and dashboards, it introduces a business-first semantic layer that models sales exactly the way the organization talks, asks, and reasons about its data.
At its core are 14 real-world business entities—
Customer, Order, Invoice, Return, Item, Warehouse, Point of Sales, Sales Person, Revenue, Sales Performance, Department, Company, Customer Address, and Customer Balance—
connected through 21 meaningful relationships that describe the complete order-to-revenue lifecycle.
How the Sales Business Is Modeled (Not the Data)
Fabric IQ Ontology captures sales reality through intuitive, human-readable relationships:
Customer → places → Order — Tracks customer purchasing behavior
Customer → billed to / receives → Invoice — Complete billing lifecycle
Customer → files return → Return — Return initiation and accountability
Customer → has address / maintains balance — Location and receivable visibility
Order → contains → Item — Line-level sales detail
Order → processed at → Point of Sales — POS-driven transactions
Order → fulfilled by → Warehouse — Fulfillment source mapping
Invoice → contributes to → Revenue — Revenue recognition
Return → reduces revenue → Revenue — Revenue impact clarity
Return → references → Invoice — Loss traced to original sale
Sales Person → operates → Point of Sales — Operational responsibility
Sales Person → generates → Revenue — Direct revenue attribution
Sales Person → has performance → Sales Performance — KPI visibility
Sales Person → works in → Department → part of → Company — Org structure
Company → owns → Item → stored in → Warehouse — Product and inventory traceability
This ontology does not describe how data is stored—it describes how the business actually works.
What Changes with Fabric IQ Ontology
By allowing data to adapt to the business (not the other way around), Fabric IQ enables natural, conversational interaction with sales data—powered by Fabric, Lakehouse, and AI agents.
Business Outcomes
Sales query resolution
From: 2–3 hours across dashboards
To: Conversational answers in seconds
Customer-to-revenue traceability
From: Cross-team reconciliation
To: Instant graph traversal
Returns impact analysis
From: Manual invoice matching
To: Automated revenue impact mapping
Sales rep performance visibility
From: Fragmented reports
To: One natural-language question
Key Takeaways for Fabric Ontology
- Lakehouse unifies sales data; Ontology unifies sales meaning
- 14 entities + 21 relationships model the full order-to-revenue journey
- AI agents can reason, not just query—across customers, orders, invoices, returns, and revenue
- Analytics shifts from dashboard-driven to conversation-driven
Fabric IQ Ontology transforms sales analytics from looking for answers to simply asking the business
