Power BI: Conversational Analytics Guide

Key insights

• Conversational analytics
  Ask business questions in plain English and get governed answers from Fabric and Power BI instead of guessing or building reports. Microsoft now treats this as an agentic analytics layer that can route queries, combine sources, and return structured, actionable results.
• Semantic model
  Semantic models supply the business definitions and rules that make AI answers trustworthy. Without them, AI can produce plausible but incorrect responses, so model governance and clear metric definitions are essential.
• Fabric Data Agents
  Data agents act as configurable virtual analysts that query warehouses, lakehouses, semantic models, and KQL databases. Use them for domain-specific, predictable Q&A; use the general Copilot chat for broader, everyday queries.
• Fabric IQ
  Fabric IQ provides a shared business vocabulary across OneLake and Microsoft 365 Copilot so different agents and apps answer questions using the same governed context. This creates consistent, cross-product analytics experiences.
• Copilot integration
  Power BI Copilot, Copilot Cowork, and M365 Copilot now work together to turn insights into actions—like drafting emails or automating workflows—while remaining grounded in trusted data. These features require Fabric or Power BI Premium capacity and tenant enablement.
• Developer actions
  Prepare semantic models now: add Prep for AI instructions, validate metric logic, enable tenant settings, test for misleading answers, and document business context so Copilot and agents deliver accurate, repeatable results.

Keywords

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