Microsoft Power BI Updates Blog

Power BI January 2025 Feature Summary

Welcome to the January 2025 update! Get ready to elevate your data analysis experience! We’re thrilled to announce a series of powerful new features designed to make exploring your data easier and more intuitive than ever. With the addition of the “Explore this data” option in the visual options menu, diving into your datasets is a breeze. Plus, our Treemap visual now boasts three innovative tiling methods for enhanced visualization.

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Help shape the future of Power BI

We would love to hear feedback from BI Engineers and Analysts about their role and Power BI! If you’d like to provide feedback to the product team that will help inform the future of Power BI, please take this 5 minute survey! Thanks for taking to time to respond!    

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Power BI Desktop November 2018 Feature Summary

We have a massive Power BI Desktop update this month. Composite models, which allow you combine direct query and import sources together in one model, is now generally available. Two of the top feature requests on UserVoice, expand/collapse on the matrix and copy and pasting visuals between Desktop files, are also shipping this month. We are previewing a completely revamped filter pane that is highly customizable and have a ton of other product updates as well!

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Public Preview of Paginated Reports in Power BI Premium Now Available

In July, we first announced our plans to support SQL Server Reporting Services reports in Power BI, and later demonstrated this capability at the Microsoft Business Applications Summit. Today, we are thrilled to announce the initial public preview of this functionality is now available in Power BI Premium, allowing customers to view and interact with their pixel-perfect paginated reports right alongside their existing Power BI interactive reports in the Power BI portal.

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Introducing: Power BI data prep with dataflows

In the modern BI world, data preparation is considered the most difficult, expensive, and time-consuming task, estimated by experts as taking 60%-80% of the time and cost of a typical analytics project. Some of the challenges in those projects include fragmented and incomplete data, complex system integration, business data without any structural consistency, and of course, a high skillset barrier. Specialized expertise, typically reserved for data warehousing professionals, is often required. Such advanced skills are rare and expensive.

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