Metrics in the dashboards

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Curated Metric Collection: Metric sets act as a collection of measurement indicators to derive semantic models and include key dimensions for a clear understanding of how to group or use a metric.
Rich consumption experiences: Users can explore and consume metrics directly from the metrics suite, gaining deep insights and understanding. Copilot summaries and multiple visuals will be available for a quick transition from data to insights.
Data Management Efficiency: Consumers can use the Explore dialog to drill down into a metric in an environment where everything in the data dashboard “just works” thanks to the specific selection of dimensions for the metric.
Discovery and reuse: Metrics can be discovered through search and metric sets can be promoted, endorsed, and certified, building trust among users. Consumers can also use the Explore dialog to drill down into a metric in a secure environment.
Copilot Integration: Integration with Copilot will improve the user experience by providing AI-powered insights and recommendations.

Existing metrics in dashboards will be renamed algeria telegram database Goals” and will retain their functionality. Dashboards can connect a goal to a metric displayed in a report, standardizing the metric across the organization and allowing them to be tracked in a dashboard with goals and progress updates.

Live editing of semantic models in Direct Lake mode with Power BI Desktop
Among the new Power BI features for September, one of the most notable features is live editing of semantic models in Direct Lake mode. This innovative capability allows users to work directly with semantic models in Power BI Desktop, accessing data stored in OneLake and using the Power BI Analysis Services engine in a Fabric workbench, rather than on their local machine.

To start using this feature, you must first enable live editing from the preview options menu in Power BI Desktop. Then, select your semantic model in Direct Lake mode from the OneLake data center and choose the “Edit” option from the “Connect” button dropdown.

Live editing enables real-time changes to semantic models, resulting in a more efficient and seamless workflow. Each modification is applied directly to the model in the workspace, improving the data modeling experience. Additionally, this feature offers the familiarity of Power BI Desktop and the ability to export to Power BI (PBIP) to support professional business development workflows.