Discover how Microsoft Fabric Planning simplifies complex P&L modeling by combining hierarchical financial structures with Cube-based allocations. This session explores how to build P&L models across countries and products, allocate GL values to unrelated dimensions using revenue-based weighting, and automatically distribute financial data across products while maintaining consistency and accuracy across planning models.
see how Microsoft Fabric enables connected, multi-level target planning with a single source of truth. By leveraging cube forecasts and multi-dimensional breakdowns, organizations can create targets at global, channel, and product levels, distribute plans using historical performance drivers, and automatically synchronize changes across every level of the planning hierarchy. This approach ensures targets remain aligned across regions, products, and business units while enabling collaborative planning with real-time roll-ups and drill-down capabilities.
Learn how Microsoft Fabric Planning supports multiple implementation approaches to meet different planning requirements and levels of complexity. From self-service semantic model planning and low-code measure models to multidimensional planning, dimension partitioning, PowerTable integration, and driver -based modeling, organizations can choose the right approach while preserving flexibility, scalability, and ease of use.
Explore how Microsoft Fabric delivers enterprise-grade security for planning and writeback applications. By inheriting Power BI row-level security and Fabric workspace permissions, while adding granular controls for writeback, comments, and scenarios, organizations can enable collaborative planning with governance and security built in.
Learn how Microsoft Fabric Planning brings together years of innovation in planning, reporting, writeback, and advanced analytics into a single integrated platform. Built on capabilities refined through thousands of customer engagements, Fabric Planning combines financial modeling, dimension management, reporting, and visualization while laying the foundation for autonomous, ontology-driven planning with Fabric IQ.
