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You can ask natural-language questions about Power BI report data by locating the relevant artifact, inspecting its semantic model schema, and executing DAX queries to return plain-language results without manual visual navigation.

The best way to find answers in Power BI dashboards without manual visual inspection is to query the underlying semantic models directly. The system reads report metadata, resolves entity names to exact model values, and runs queries to retrieve the data.

Yes, you can query a Power BI semantic model directly to compare business metrics. The system inspects model relationships and measures, resolves the query context, and executes DAX to answer comparative business questions across artifacts.

You do not strictly need a report URL to start querying Power BI dashboard insights. The system supports artifact discovery directly from a user question, meaning you can ask a business question and let the tool locate the relevant report or semantic model.

Semantic model schema inspection for Power BI reports works by reading report metadata, page filters, visuals, and relationships. It identifies exact measures and entity names before building the correct query context to execute against the underlying model.

Limitations of using natural-language queries for Power BI data analysis include the dependency on accurate artifact discovery and the semantic model's existing structure. If the model lacks specific measures or relationships, the query cannot resolve the requested business metrics.