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PMS data insights

Your PMS knows. Now you will too.

Hotel business intelligence without a BI project: HotelCadence reads OPERA Cloud (via OHIP), Mews and Cloudbeds through their official APIs and gives every property and the regional office one live view, occupancy, pickup, RevPAR and labor cost per occupied room, refreshed every 15 minutes. Live in 1–2 weeks, no rip-and-replace.

See it on your own dataCheck your PMS →

Half of hoteliers can't see their own numbers

49%of hoteliers say they can't access the data they needIndustry survey, 2024
40%blame disconnected systems for itSame survey
15 minrefresh interval on every HotelCadence metric

The arrivals are in the PMS, the covers are in the POS, the roster is in a spreadsheet, and the monthly pack arrives three weeks after the month it describes. By the time anyone sees labor cost per occupied room, the money is spent.

Who uses it for what

Revenue managers watch demand. Ops leaders watch cost. Same screen.

For revenue managers

Pickup by segment and lead time, forecast-versus-actual occupancy, ADR and RevPAR against last year, with the forecast the scheduling module actually uses, so commercial and operations finally argue from the same curve.

For operations and regional directors

Labor cost and hours per occupied room, overtime, schedule-versus-demand match, per department, per property, comparable across the portfolio even when properties run different PMS systems.

OccupancyLabor CPOR
050100150JanMarMayJulSepNovOccupancy 121Labor CPOR 95Jan, Occupancy: 100 · Labor CPOR: 100Feb, Occupancy: 96 · Labor CPOR: 104Mar, Occupancy: 108 · Labor CPOR: 99Apr, Occupancy: 115 · Labor CPOR: 96May, Occupancy: 112 · Labor CPOR: 98Jun, Occupancy: 104 · Labor CPOR: 103Jul, Occupancy: 118 · Labor CPOR: 94Aug, Occupancy: 124 · Labor CPOR: 92Sep, Occupancy: 110 · Labor CPOR: 101Oct, Occupancy: 106 · Labor CPOR: 102Nov, Occupancy: 112 · Labor CPOR: 98Dec, Occupancy: 121 · Labor CPOR: 95
The story one screen tells: occupancy climbed 21% across the year while labor cost per occupied room fell 5%, both indexed to January, one axis. Worked example, figures indicative.

Data questions chains ask us

Does HotelCadence replace my PMS reports?

No, it reads OPERA Cloud (via OHIP), Mews or Cloudbeds through their official APIs and adds the layer PMS reporting stops at: cross-property comparison, labor cost per occupied room, and forecast-versus-actual in one live view. Your PMS stays the system of record.

Which metrics are in the live view?

Occupancy and pickup by day and segment, ADR and RevPAR, arrivals and departures, F&B covers where available, plus the operations layer: labor cost per occupied room, hours per occupied room, overtime, and schedule-versus-demand match, refreshed every 15 minutes.

We run different PMS systems across our properties. Does that work?

Yes, that is the typical APAC chain reality. One property on OPERA Cloud, another on Cloudbeds, a new build on Mews: HotelCadence normalizes all three into the same metrics so a regional director compares properties on one screen.

How is this different from a generic BI tool like Power BI?

Generic BI needs someone to build and maintain hotel data pipelines. HotelCadence ships with the hotel data model already built, USALI-friendly labor metrics, PMS connectors, forecast overlays, and guided setup has it configured in weeks, not a BI project in quarters.

What does it cost?

Data insights is included in the platform subscription, from US$6 per scheduled employee per month, all three modules. Most chains start with a 90-day pilot from US$7,500 that includes the full data layer.

Book a demo, see your portfolio in one view

30 minutes · read-only PMS access · no obligation. Prefer numbers first? Run the labor savings calculator.