Topic: DAX
-
This article offers a comprehensive guide to changing the like-for-like pattern into model-independent functions to enhance flexibility and simplify DAX code. Read more
-
This article describes how to use the TOJSON and TOCSV functions to inspect the content of intermediate table variables when debugging a DAX measure. Read more
-
The new calendar-based time intelligence functions offer greater flexibility than the classic time intelligence functions. This article describes the DATEADD parameters for controlling different granularity shifts. Read more
-
This article introduces the new calendar-based time intelligence functions in DAX, available in preview from the September 2025 release of Power BI. Read more
-
This article shows how to create a DAX measure that displays information from multiple columns in a business entity or transaction, into a single column of a matrix. Read more
-
This article analyzes the performance of regular versus limited relationships in DAX to understand the implications of using limited relationships. Read more
-
This article describes the data model and DAX measures to analyze the effectiveness of campaigns, by separating attributed sales (directly linked to a campaign) from influenced sales (all sales of products participating in campaigns, regardless of attribution). Read more
-
Should you use RANK or stick with RANKX? In which scenarios is one better than the other? This article provides an in-depth analysis to help readers make informed choices. Read more
-
This article explains the distinction between model-dependent and model-independent DAX user-defined functions, highlighting how dependencies impact portability and maintenance, and provides guidance on avoiding hidden dependencies and adopting proper naming conventions. Read more
-
This article outlines the process of creating a measure to identify the top 10 products by sales each year. Read more