Maps in Power BI: From Basic Geography to Production-Ready Spatial Analytics

Maps are one of the most requested, and most misused, visuals in Power BI. Many reports rely on default map visuals without fully understanding geocoding behavior, data modeling requirements, performance implications, or when a map adds real analytical value. In this session, we’ll move beyond “drop a field on a map” and explore how to design reliable, scalable, and enterprise-ready spatial analytics in Power BI. We’ll cover when to use built-in map visuals versus Azure Maps and Shape Maps, how to model geographic data to avoid common errors, and how to work with custom boundaries such as sales territories, service areas, or districts. The session focuses on practical patterns and architectural guidance rather than GIS theory, helping you understand not just how to build maps in Power BI—but when and why they should be used. You’ll leave with: A clear understanding of Power BI’s mapping options and their tradeoffs Best practices for preparing and modeling geographic data Guidance on custom shapes, performance, and governance Real-world patterns you can apply immediately in production reports