Copilot in Power BI empowers both developers and non-technical users by assisting with tasks such as generating reports, writing and explaining DAX queries, and creating measure descriptions. However, a common debate revolves around the quality of its results.
In my view, the accuracy and usefulness of Copilot’s output largely depend on the quality of your data model. For example, if your model contains numerous acronyms, abbreviations, or internal definitions, Copilot may struggle to interpret them correctly, leading to less-than-ideal results.
In this blog, we’ll explore how to improve Copilot’s DAX query suggestions by enriching your model with additional metadata such as descriptions, synonyms, and sample values.
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