What feature does an implicit measure have that an explicit measure does NOT?

An implicit measure is created automatically by Power BI when a user drags a numerical field into a visual, which often defaults to a specific aggregation type, such as sum or average. One of the key features of implicit measures is that they allow end-users to easily change the aggregation type directly from the visual itself, providing a more dynamic and interactive experience. This flexibility enhances user engagement and enables users to explore the data in a way that aligns with their analytical needs without requiring them to delve into the underlying data model.

On the other hand, explicit measures are defined by the user using DAX (Data Analysis Expressions) and are typically more rigid in their aggregation type. While users can utilize explicit measures in various ways, the aggregation type is typically set during creation and is not as easily modified directly in the visual by end-users. This distinction highlights the user-friendly aspect of implicit measures, aligning with the goal of making data analysis more accessible to non-technical users.