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Can AI optimize a DAX expression? Sure, it can. However, when AI and humans work together, the result is better. In this article, we show a simple example. Read more
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Power BI enables the continuous X-axis on the auto date/time hierarchy even at the month level. We can get the same behavior on any Date table by setting the right metadata in TMDL. Read more
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Defining the right contract is a key activity for a DAX developer using AI. In this article, we introduce the concept of a contract through simple examples. Read more
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This page contains descriptions and links to necessary tools and resources for DAX and Tabular developers. Read more
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A simple daily average masks a level of complexity that may not be immediately apparent. In this article, we use AI to create a daily average, and then to analyze several edge-case scenarios to build a sound calculation. Read more
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A DAX calculation can produce convincing values at the detail level and still fail at the total. The problem is often not the total itself: the business rule was evaluated at the wrong granularity. This article introduces four grains, or… Read more
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This article describes how to use AI to identify relevant test cases in a semantic model and create repeatable DAX tests for a measure. Read more
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Code written by AI can contain many duplicate parts. User-defined functions are a great tool to simplify complex measures; this article shows how to leverage AI to build better DAX code. Read more
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Visual calculations can either improve or degrade the performance of a report. In this article, we outline how we ensure visual calculations have a positive impact on performance. Read more
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This article describes how to apply different formatting rules at each level of a hierarchy (one rule at the year level, another at the quarter level, another at the month level) using ISINSCOPE in a measure or ISATLEVEL in a… Read more