Welcome back to the channel! In today’s Power BI tutorial, we walk you through building a dynamic sales dashboard using sample data from US and Canada branches while tackling one of the most common pitfalls in data visualization: geographic misidentification. Starting from importing an Excel file and adding fundamental elements like text boxes, pie charts, and column charts, we demonstrate how map visuals can easily misinterpret city names—placing American cities with common names like London, Paris, Moscow, or Sydney across Europe, Russia, and Australia instead of North America.
To fix these mapping errors and ensure accurate reporting, we demonstrate a step-by-step troubleshooting approach using custom columns, unique identifiers, and coordinates. You will learn why combining location fields, utilizing unique Branch IDs to separate duplicate locations, and ultimately using precise latitude and longitude data is essential for preventing overlapping markers and map confusion. By switching from text-based locations to geographical coordinates, your Power BI dashboards will display every single branch accurately. Watch until the end to master these best practices, and don’t forget to subscribe for more insights!
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