Concept Overview Introducing the ability to group measures within Power BI grids (like table and matrix visuals) and similar visuals could significantly enhance usability, organization, and scalability for both end-users and report designers. This feature would allow measures to be arranged in hierarchical groups, enabling a more structured and manageable visualization of complex datasets.   Key Features of Measure Grouping: 1.Group Creation: •Users can manually create measure groups, either in the visual itself or through the model. •Groups can be nested, allowing for hierarchical levels (e.g., Level 1, Level 2, Level 3). 2.Drag-and-Drop Functionality: •Measures can be easily dragged into or out of groups within the visual editing pane. •Entire groups can be moved or re-ordered, significantly reducing the time needed to organize visuals. 3.Dynamic Hierarchies: •Groups can have expandable and collapsible options in the grid for better navigation. •Each level of the hierarchy can function independently, allowing users to focus on relevant data at any given time. 4.Shared Formatting and Calculations: •Formatting options can be applied to a group, ensuring consistency across its measures. •Calculations (e.g., percentages, totals) could optionally aggregate data within a group, providing roll-ups or summaries. 5.Ease of Maintenance: •Measures within a group can be edited or replaced without affecting the group’s structure. •Provides a way to categorize and manage large numbers of measures effectively.   Benefits of Grouping Measures:   1.Improved Navigation: •Users can explore large datasets more efficiently by interacting with grouped measures rather than scrolling through lengthy, unstructured lists. 2.Better Organization: •Logical grouping (e.g., Sales Measures, Profitability Measures, Customer Metrics) helps users quickly locate relevant data. 3.Enhanced Scalability: •As datasets grow in complexity, grouping offers a sustainable way to manage increasing numbers of measures. 4.Custom Visual Hierarchies: •Multi-level column structures can be created to represent relationships between measures or to categorize them meaningfully (e.g., regional breakdowns by financial metric). 5.User-Friendly Reporting: •Reports become more intuitive and visually appealing, especially for non-technical stakeholders. ... View more

It would be easier to understand which measures are failing and causing the error if all measures that are working displayed their values. ... View more