The Fabric Metrics Layer

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Benefits of metric sets:

Improved data quality: By establishing reusable metrics based on measures, you eliminate the need to create duplicate measures in your reports.
Facilitating self-service: Business users can explore the data they care about using “mini” models on the metric set details page, adding filters and slicers to answer their own questions.
Breaking down data silos: Other Fabric artifacts can leverage metrics defined in the metrics layer, such as data science notebooks that can connect to a metric defined in a Power BI semantic model.
Key Features:

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 romania whatsapp resource 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.
Metrics in the dashboards

Existing metrics in dashboards will be renamed “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.