This release wave not only brings technical enhancements, it also changes the way reporting and data work in everyday life. Copilot creates the first reports directly from voice input. Semantic models can be maintained in a more structured way. And Fabric connects external sources, pipelines and alerts to create a consistent data flow.
For companies that are already using Power BI or Fabric productively, this is the right time to get to grips with the new features:
Which features will bring you concrete time savings, automation or transparency - without complex implementation? Which of these can be activated with just a few clicks and immediately create added value?
Because one thing is clear: anyone who thinks ahead with their data strategy does not start with the technology, but with the targeted use of the right functions.
Release timeline at a glance
| Milestone | Date |
|---|---|
| 📑 Publication release plan | July 16, 2025 |
| 🧪 Early Access (Preview) | August 4, 2025 |
| 🚀 General availability | October 1, 2025 |
Why you should get to grips with the new features now
Many of the new functions can be activated directly, without a long project runtime or external tools. Copilot, Data Activator and the new modeling options in particular are designed to enhance existing reports and workflows rather than replace them. At the same time, the foundation beneath the surface is changing: those who start adapting their models or using OneLake shortcuts early on are creating the basis for scalability and governance. Those who wait will have to follow suit later, with more effort and less strategic leeway.
Now is the right time to take a targeted look:
Which functions bring you real added value?
Which ones are easy to activate - and where is it worth taking the next step?
Copilot for Power BI: Create reports by voice input
What's new?
Copilot in Power BI generates initial visualizations and reports based on simple language input. Users describe what they want to analyze - Power BI creates suggestions that can be further customized.
🔷 Why is this relevant for your company?
Report creation becomes more accessible - even for departments without in-depth Power BI expertise. This means that initial insights are generated more quickly without the BI department having to process every request manually.
Direct Lake Mode: Fast access to large amounts of data
What's new?
Power BI can now access data in the lake directly - without any prior import. This improves performance for large models and noticeably reduces latency.
🔷 Why is this relevant for your company?
Especially with real-time data or large tables, reporting is not only faster, but also requires less maintenance. This reduces loading times and increases user acceptance.
Improved semantic models in Power BI Desktop
What's new?
Power BI Desktop has more functions for modelling - for example, for separating calculation logic and visualization, for clearer, maintainable reports.
🔷 Why is this relevant for your company?
More complex dashboards can be structured more clearly. This not only helps with development, but also with governance and sharing with other teams.
Data Activator: Reactive dashboards with automation
What's new?
With Data Activator, alerts and automatic actions can be triggered directly from Power BI data - such as emails, Teams messages or processes in Power Automate.
🔷 Why is this relevant for your company?
Reports become directly usable recommendations for action. Teams no longer have to check regularly - they are actively notified when threshold values are reached or exceeded.
Notebook-based pipelines for data flows
What's new?
Microsoft Fabric enables the creation of data pipelines with Jupyter-like notebooks. This allows data to be pre-processed, transformed and orchestrated - integrated into your fabric environment.
🔷 Why is this relevant for your company?
Data preparation becomes more flexible and reproducible - especially for data engineers who use Python or Spark. This facilitates the handover between teams and systems.
OneLake Shortcuts: Integrate Azure & AWS data sources directly
What's new?
With OneLake, data from Azure Data Lake or AWS S3 can be integrated via shortcuts - without copying or duplicating. The data is immediately available for reports or AI models.
🔷 Why is this relevant for your company?
Less redundant data storage, faster connection to external sources - and more control over the data flow. This saves storage costs and accelerates projects with multiple platforms.
When will you use your new advantage?
Are you already using Microsoft Power BI or Fabric - but are you making the most of all the new possibilities?
Book a brief meeting with our team now - we will show you which functions have the greatest leverage for your processes and how you can activate them in a targeted manner!
