In this session, we explore why many Power BI and Microsoft Fabric initiatives struggle with low dashboard adoption, inconsistent usage, and limited impact — and why these challenges are rarely technical.

Drawing from my experience leading analytics in a national nonprofit in the public sector, I will share a practical framework for improving adoption using engagement metrics, behavioral insights, and governance models.

We will cover how to measure true adoption, identify why dashboards fail, and implement feedback loops that drive continuous improvement across Power BI and Fabric environments.

A key focus is how adoption and governance enable AI-ready analytics — using structured usage data, trusted definitions, and data discoverability to support reliable insights and scalable decision-making.

You will learn how to diagnose adoption issues, design solutions users actually engage with, and build a foundation for immediate impact and long-term AI readiness.