Better visual features now available in Power BI

Power BI continues to evolve with features that make report building, analysis and collaboration easier. Instead of listing every update, this blog focuses on the improvements that offer real value and help you work more efficiently.

Better visual features now available in Power BI
Copilot improvements in Power BI

Copilot has become more accurate in generating verified answers. It now provides clearer explanations and more reliable responses when analysing reports or summarising insights.

This gives users more confidence when exploring data, especially when they want a quick understanding of what the report is showing without digging into every visual manually.

Automatically expanding matrix columns

Matrix visuals now adjust automatically to fill the available space. Columns expand on their own when there is extra room, so you no longer have large empty gaps or tight columns that make values difficult to read.

This small change improves the visual balance of reports and saves time spent resizing columns.

Copilot improvements in Power BI
Enhanced Image visual
New Card visual

The new Card visual is now fully available. It offers a cleaner design, flexible formatting options and more control over how key metrics are displayed.

Enhanced Image visual

The Image visual has received improvements that add more styling flexibility. You can adjust appearance and states more effectively, which helps in creating a consistent look with your branding or layout.

This is useful when building presentations, landing pages or dashboards that rely on visuals to guide attention.

Semantic Model version history

Semantic Model version history is now available. It lets you review previous versions of a model and revert changes when needed.

This feature is important for teams who build models together because it reduces the risk of errors and makes development more organised.

TMDL support in Visual Studio Code
Power BI now supports Tabular Model Definition Language in Visual Studio Code. This allows teams to edit semantic model files in a clean and manageable environment.

Developers can maintain models more consistently and follow version control practices more easily.

Semantic Model version history
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