For venue & matchday ops
Your ticketing system knows every section's sell-through — your dashboard shows it as a table that hides which side of the bowl is empty.
A stadium is a shape everyone in the building already reads at a glance — North Stand, East corners, the hospitality block along the main stand. But the reports that run matchday are flat: a bar chart of "tickets sold by section", a table of concession revenue, a KPI for overall occupancy. None of them let a venue manager look at the actual bowl and see that the away corner is dead while the family stand is capped out. A synoptic panel closes that gap — it binds each section of your seating map (the four stands, the corner blocks, the premium/hospitality tier, even the pitch as a reference) to a measure and colors it, so "South Stand is 40% sold" or "West is at capacity" is obvious on the plan instead of buried in rows you have to decode.
Native Power BI has no floor-plan or seating-bowl visual. The usual workarounds are a static seating image with cards manually placed on top (which breaks the moment you renumber a block or add a stand), Shape Map (built for choropleth geography, not a custom bowl), or an AppSource synoptic visual you rent per user forever. VizForge generates a synoptic .pbiviz from your own seating map: upload the layout, the AI names each section, you bind your ticketing and CRM measures, and you own the resulting file outright — no per-seat licence, no dependency on a vendor's release schedule.
The demo below is the real idea in miniature: a stadium bowl whose sections light up by a sample ticket-sales measure. In production you'd bind the same regions to live data from your ticketing platform.
Percent of capacity sold per section, so a slow-moving stand is visible on the bowl weeks before kickoff.
Turnstile scans versus tickets sold per block — spot no-shows and gate congestion in real time.
Gate plus concession and hospitality spend per area, shaded to show where the money actually sits.
Share of renewed seats per stand, so retention risk is mapped to the part of the ground it affects.
Generate the synoptic .pbiviz from your stadium seating map and import it into Power BI Desktop.
Drop the section field (one row per stand/block, matching the named areas) into the Category well.
Add your measure — e.g. Ticket Sales % from your ticketing model — into the Values well.
Set a conditional-format color rule (red under-sold → green sold out) and the bowl colors itself.
Try this prompt
A stadium bowl seating map with a central pitch, North, South, East and West stands around it, four angled corner blocks, and a premium/hospitality tier on the east side — each section bindable to a ticket-sales measure.
Not with a native visual — Power BI has no seating-bowl or floor-plan chart. You use a synoptic panel: a custom visual that maps sections of your seating map to data. VizForge generates one from your own layout so each stand, corner, and hospitality block binds to a ticketing measure and colors by it, and you own the .pbiviz outright.
A background image with cards is static and fragile — renumber a block or add a stand and every card is wrong, and nothing is data-bound, it's just placed. A synoptic panel binds each named section to a field, so the coloring updates with your data and cross-filters like any other Power BI visual.
No. You upload the seating map and the AI segments and names the sections; you refine the names and bind your measures. That is the whole point versus the older draw-every-polygon synoptic workflow.
Whatever your ticketing and CRM models expose per section: sell-through, live scan-in rate, gate and concession revenue, no-show rate, season-ticket mix. One row per section with a matching key, plus the measure, and the bowl colors itself.
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Upload your real layout, let the AI name the sections, bind your measures, and download a .pbiviz you own forever.