Spotonix for Power BI
Upload your PBIX file. Spotonix ingests your DAX measures, relationships, and business logic — then lets anyone ask questions in natural language. Your analysts' years of work become a composable context graph in minutes, not months.
The Problem
How It Works
Drop your PBIX file. Spotonix parses your DAX measures, calculated columns, relationships, and hierarchies — preserving every business rule.
DAX measures become Calculations. Dimension tables become Segments. Report views become Analysis Patterns. Your model is now a composable Context Graph.
Ask questions in plain English. Spotonix discovers relevant building blocks from your DAX models, composes the answer, and shows its interpretation before executing.
The Difference
| Capability | Power BI + Copilot | Power BI + Spotonix | Text-to-SQL |
|---|---|---|---|
| Understands your DAX models | Partial | ✓ Natively | ✗ |
| Reuses existing definitions | ✗ | ✓ | ✗ |
| Shows interpretation before executing | ✗ | ✓ | ✗ |
| Same question, same answer every time | ✗ | ✓ | ✗ |
| Learns from each question | ✗ | ✓ | ✗ |
| Cross-model knowledge discovery | ✗ | ✓ | ✗ |
| Outputs DAX, SQL, or both | DAX only | DAX + SQL | SQL only |
Use Cases
Migration
"We have 200+ PBIX files across 8 teams. Can we unify the metric definitions?"
Spotonix ingests all models, identifies overlapping definitions, and surfaces inconsistencies.
Self-Service
"Our business users can't write DAX. They wait 3 days for every new question."
Business users ask in plain English. Spotonix composes from the DAX your team already validated.
Knowledge Retention
"Our senior Power BI developer is leaving. Nobody else understands the DAX."
The context graph captures every measure, relationship, and pattern — it stays when they leave.
Cross-Model Analytics
"Finance and marketing define 'revenue' differently. Which one is right?"
Spotonix surfaces both definitions, shows the difference, and lets the business decide — then enforces it.