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ImprovementModelling
5 months ago

🔗 Variable dependencies: now includes spaces and dimension levels

The Dependencies panel in the Model Builder just got more complete. You can now see, at a glance, every space component and every dimension level connected to a variable, alongside the variable and dataset dependencies already available.

✨ What's new

  • Spaces as outgoing dependencies. Changing or deleting a variable when you're not sure who's relying on it in Spaces is a real risk. The outgoing section now lists every table, chart, KPI card, and input table referencing the variable, each showing the space it belongs to, so you can check the impact before making any change.
  • Dimension levels as incoming dependencies. The incoming section now lists every dimension level the variable depends on, whether it's active on the variable or referenced as a filter in a formula. Each entry links to the dimension detail page, and where a dependency is version-specific, a tooltip shows exactly which versions it applies to.

⚙️ How it works

Both additions follow the same visual pattern as existing dependencies. Outgoing space components show the component name with the parent space as secondary text. Incoming dimension levels show the dimension level label with the dimension name as secondary text.