Benefits of metric sets:
Posted: Wed Jan 22, 2025 5:25 am
The Fabric metrics layer in Power BI aims to make it easy to define, discover, and reuse trusted metrics. Trusted creators can develop standardized metrics that incorporate essential business logic, ensuring consistency across the organization. These metrics are organized into collections, promoted and certified, and made accessible to end users and other creators. Additionally, these metrics can be used to generate reports and reused in other Fabric solutions, such as Notebooks.
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 germany telegram data 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 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.
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 germany telegram data 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 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.