fabriciq

Use natural-language questions to trigger artifact discovery, schema inspection, and DAX query execution against Power BI reports, returning concise, human-readable summaries. You ask a question, and the system discovers relevant artifacts to generate insights.

Inspecting Power BI semantic model schemas reveals data structures, relationships, and available measures. This schema inspection guides precise filtering and value resolution before generating DAX queries to fetch insights.

Yes, you can generate and execute DAX queries from plain English. The system resolves specific entity values to guide precise filtering, then executes the generated DAX via the FabricIQ endpoint to fetch insights.

The best way to extract insights without writing DAX is orchestrating artifact discovery and schema inspection to resolve entity values automatically. This generates and executes DAX queries, returning plain-language conclusions.

Discover Power BI artifacts and connect to specific reports via the FabricIQ endpoint. Discovery identifies relevant reports and semantic models, binding them to your natural-language query to generate actionable analytics.

Yes, this approach resolves specific entity values within Power BI semantic models to guide precise filtering and results. Value resolution ensures generated DAX queries fetch accurate insights from the correct data context.