Microsoft Power BI Blog

Power BI November 2024 Feature Summary

Welcome to the November 2024 update. We’re thrilled to introduce Copilot in Power BI Mobile apps, bringing AI to your fingertips for a smarter, faster way to explore data on the go. This month’s update also includes a new Path layer for the Azure Map visual, making geospatial analysis even more powerful by helping you easily map connections between multiple locations. We’re also introducing the OneLake catalog, the latest evolution of the OneLake data hub, offers a unified platform for data engineers, data scientists, analysts, and decision-makers to browse, manage, and govern data seamlessly—all from one intuitive interface.

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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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