You may have noticed certain problems that come along when you implement self-service business intelligence at scale—duplicate datasets, redundant reports, and siloed content spread across workspaces and departments. As Power BI adoption grows, so does the clutter. This is often the result of non-standardized practices and a lack of governance.

In this session, we’ll explore how to bring structure and scalability to your BI landscape using the right mix of tools and techniques—based on your data complexity, organizational needs, and other factors. From dataflows and DirectQuery to semantic models, warehouses, and lakehouses, I’ll walk you through when, why and how to use each option as you work toward building a trusted, reusable, and scalable single source of truth for data-driven insights.