From Messy to Manageable: Cleanly Load Dataverse Tables in Power BI
First and foremost, I want to take a moment to acknowledge Brandon Pires , who originally crafted the script that inspired all of this work. Brandon’s creativity laid the foundation for this blog post, and his efforts are key to helping Power BI developers improve efficiency and cleanliness in their reports. Introduction: Using Templates to Keep Your Dataverse Clean When working with Microsoft Dataverse in Power BI, things can get messy quickly. Dataverse often contains a wealth of fields, system columns, and metadata that can make your reports harder to understand, cluttered, and less efficient. However, by leveraging templates and custom functions, you can automatically clean and format your data, allowing you to focus on deriving insights rather than grappling with unnecessary noise. One such function, inspired by Brandon Pires, is designed to clean column names from Dataverse and keep them tidy. In this blog post, I will explain how this function works, why it improves efficien...
