#readinessanalyzer

Semantic Model Data Agent Readiness Analyzer

What it does: Automates 18+ critical checks to validate your Power BI semantic model is ready for Microsoft Fabric Data Agents — saves hours of manual validation Prevents production failures by detecting issues like missing descriptions, duplicate column names, implicit measures, and poor DAX performance before deployment Provides actionable scoring with severity-weighted prioritization (🔴 Critical → 🟡 Recommended) so you know exactly what to fix first Aligned with official Microsoft guidance — covers 100% of the Fabric Data Agent Checklist including security requirements, AI Data Schema validation, and performance optimization Version-controlled best practices — guides you on Prep for AI configuration (Verified Answers, AI Instructions, synonyms) that travels with your PBIP model through Git and deployment pipelines Bottom line: Run this notebook before deploying your Data Agent to catch configuration gaps that would otherwise cause silent failures, poor accuracy, or timeout errors in production.