Artificial intelligence continues to transform data analytics, and Microsoft proves it with the latest update to Power BI. Copilot in Microsoft Fabric is now able to generate and explain DAX queries using semantic descriptions, synonyms and sample values.
DAX queries in Power BI: Smarter than ever before
With this new functionality, users of Power BI Desktop and Power BI in the browser will be able to:
> Writing DAX queries in an intuitive way.
> Receive detailed explanations of your DAX code.
> Leverage metadata such as names, data types and semantic descriptions.
The Copilot button in the DAX query view allows you to enter natural language requests to generate or understand a DAX query, enhancing the data analysis experience.
What's new with Copilot in Power BI
Semantic descriptions: Copilot can now better interpret the data model thanks to column, table and measurement descriptions. This is useful for defining acronyms and providing additional context.
Synonyms for greater accuracy: Users can add synonyms to column names, allowing Copilot to better identify data.
Automatic sample values: Copilot considers the minimum and maximum values of the columns, ensuring that filters and calculations are performed correctly.
Benefits of this DAX query update in Power BI
> Increased speed and accuracy: Copilot now uses Azure OpenAI, improving responsiveness and optimizing query generation.
> Better experience for analysts and report writers: The documentation of the data model is clearer, making it easier to work with DAX.
> Optimization in data analysis: Thanks to synonyms and sample values, common errors in calculations and visualizations are avoided.
Boost your analytics with Microsoft Fabric and Copilot
This new Power BI update represents a breakthrough in the automation of analytical processes. To learn more about how to optimize semantic models and improve performance in your reports, visit the official Power BI optimization guide on Microsoft Learn.