The blank page before a dashboard is the most expensive piece of real estate in BI. The industry has spent years optimizing dashboard features. More visual types, more interactivity, more drill-downs. But we haven't meaningfully reduced the cost of getting to square one.
AI's most immediate impact in BI isn't replacing analysts. It's eliminating the blank canvas problem. When a tool can generate a structured first draft from a description or dataset, it shifts the workflow from creating from scratch to editing toward precision.
Before: raw data → figure out layout → build charts → format → tweak for presentation
After: raw data → describe what you need → get a structured starting point → refine
I'm curious how others see this. Is the blank canvas a real pain point in your BI workflow, or have you already moved past it? What's your approach to getting from zero to something useful faster?