📈 Revenue OPERA + F&B
🏠 Revenue Mix
🏦 Property Performance
Revenue by Property
Occupancy % by Property
ADR by Property
📈 Daily Transaction Count by Payment Method
💳 Decline Rate by Payment Method
📈 Refunds
💳 Average Transaction Value by Payment Method
💳 Payment Volume by Card Type
Total settled payment volume broken down by card type.
📈 Daily HPG Transaction Count
Number of HPG transactions per day over the selected date range.
📈 Daily HPG Payments Volume
Daily HPG settled payments over the selected date range.
📈 Payment-Decline
X=Avg Ticket Size, Y=Decline Rate, Bubble=Volume Share
💳 DCC Volume
Share of payment volume processed via Dynamic Currency Conversion.
💳 Auth Rate by Issuer
Approval rate per card issuer. Lower rates = potential gateway or BIN issues.
💳 Transactions by Workstation
Transaction count per workstation. OPERA vs Simphony terminal distribution.
💳 Void Rate by Workstation
% of voided transactions per workstation. High rates = training or hardware issue.
🍴 F&B Revenue vs Covers
📈 Average Check Trend
🏦 F&B Revenue per Occupied Room (F&B RevPOR)
🏠 F&B as % of Total Revenue
📅 Average Check by Day of Week
👥 Daily Rooms Sold (from OPERA)
📈 Daily ADR
📦 Daily Occupancy
👥 Guest Spend Journey — TRevPOR
Total Revenue per Occupied Room: (Room Rev + F&B Rev) / Rooms Sold.
📈 Upsell Index
F&B Revenue per Occupied Room vs ADR. Top-right = best upsell performance.
🛒 Revenue Split by Type
Room charges vs F&B vs Other, by property.
🔮 30-Day Occupancy Forecast
Historical 60 days + projected 30 days. Dashed line = forecast zone.
🔮 30-Day Revenue Forecast
Combined room + F&B revenue. Historical 60 days + projected 30 days.
🔮 30-Day Transaction Volume Forecast
HPG daily transaction count. Historical 60 days + projected 30 days.
🔮 Occupancy Forecast vs Actual
Last 30 days: what the forecast would have been vs actual. Measures forecast accuracy.