See how PowerTable preserves record history and automates routine HR processes in one connected experience. This demo shows how to enable slowly changing dimensions (SCD Type 2 and Type 3) to track changes to fields like grade and salary, then use automations to update employee records the moment a resignation form is submitted.
Learn how to configure PowerTable approval settings, including simple approvers, up to three levels of multi-level approval, and rule-based routing by condition. The demo covers submitting staged changes with a description, due date, and priority, reviewing requests in Pending Review with change history and comments, and using Audit to track data and configuration changes.
See how the new Execute Stored Procedure action brings your Fabric SQL database logic into PowerTable automations. This demo shows how to trigger a stored procedure when a record is created, map the customer key from the triggering record, and keep a customer summary table current, with results confirmed in the run history and database.
Learn how to build an integrated project plan using a planning sheet connected to PowerTable sheets and Fabric SQL tables. The demo covers effort and budget distribution rules, a Gantt-layout task table, lookup and reference columns for resource assignment and cost, a cross-tab time entries table for actual effort, and a budget variance column that compares top-down budgets to bottom-up forecasts.
See how to bring a Fabric Plan writeback table into your semantic model and make it available across Ontology, Copilot, Fabric IQ, and data agents. This demo shows how to set up a writeback destination, add the table to the source semantic model with star schema relationships, and query the regional revenue plan through the same business context.
Discover how to put your forecast data to work in connected analysis with just a few clicks. Add a writeback destination, send the table to your semantic model, and relate it to existing dimension tables, so your regional revenue plan sits next to actuals and is ready for reporting.
See what’s new in Fabric Plan across five pillars that move enterprise planning forward. This overview covers simpler onboarding, a native engine with multi-driver simulations, post-writeback triggers, organizational apps for sharing, and tenant and capacity controls that support confident, wider adoption.
Discover the native planning engine behind Fabric Plan, built on Rust and Apache Arrow and integrated with OneLake. The demo covers a 13-million-plus cell model, top-down value spreading from the grand total to the lowest level, automatic recalculation of dependent formulas, and saving working values to OneLake.
