Data Panda pulls your Cubilis channel-manager and booking-engine data out of the Lighthouse platform and brings it together with the rest of your hotel stack. From one place, we turn it into dashboards, automations, AI workflows and custom apps your revenue, reservations and finance teams use every day.
Cubilis is the channel manager built by Stardekk, a Belgian hospitality-tech company founded in Bruges in the early 2000s. Stardekk became part of Lighthouse (formerly OTA Insight) in February 2024, and the product is now marketed as the Lighthouse Channel Manager, though most Belgian and Dutch hoteliers still call it Cubilis. The combined platform reports more than 3,000 hotel customers across 55 countries, with a strong footprint in independent hotels, B&Bs and small groups in Belgium, the Netherlands and the rest of Europe.
For revenue, reservations and finance, Cubilis is the system that decides what ends up on Booking.com, Expedia, Airbnb and the other 200-plus channels you distribute on, and the one that runs your own booking engine for direct stays. It holds the objects that matter for commercial reporting: rate plans, rates, restrictions, availability, channel mappings, reservations pulled back from the OTAs and the commissions, cancellations and modifications that come with them. The built-in dashboards handle the daily view. The harder questions, like what each OTA really costs after commission, where parity is quietly breaking, or how direct bookings compare to OTA after refunds, live between Cubilis and the PMS, payments and accounting systems around it. That is where pulling Cubilis into a warehouse earns its keep.
OTA mix, commission, parity and direct share in one place, split by channel, rate plan and property.
Turn channel, rate and reservation events into the actions your reservations desk would otherwise do by hand.
Use channel, rate and reservation history to score risk and sharpen pricing.
Small revenue and reservations tools that run on Cubilis data instead of another plug-in.
A list of concrete reports, automations and AI features we have built on Lighthouse Channel Manager (Cubilis) data. Pick the one that matches your situation.
What does each OTA really cost us after commission and cancellations?
Net ADR per channel after Cubilis-booked commission, payment fees and the cancellation rate you see in the reservations it pulls back. Booking.com, Expedia and Airbnb stop being a single distribution line and become three distinct cost structures, with direct as the fourth column next to them.
Where is our rate parity quietly breaking?
A daily scan that compares the rate Cubilis pushed per channel to the rate visible on Booking.com, Expedia and the direct booking engine for the same stay date and room type. Breaks are surfaced per rate plan and per channel, so the one rate plan nobody opens gets flagged before a commercial manager at an OTA does.
How is our direct booking share really moving over time?
Direct stays via the Cubilis booking engine as a share of confirmed, non-cancelled reservations across the whole group, tracked month over month and split by property. Marketing and revenue stop arguing about whether a campaign paid back, because the number on the dashboard is the same number the folio sees.
OTA commission and booking-engine revenue visible as real line items, split per channel and per property. The nightly journal posting to accounting uses the same numbers as the tax filing, and parity-break alerts catch the cases that would otherwise surface as an OTA clawback later.
Channel mix, lead time and corporate direct bookings on one view, so the sales conversation with a Booking.com account manager happens on your numbers, not theirs. Rate-plan performance by segment is there when you need to renegotiate a contracted rate.
Reservations pulled from every channel in one table, with the restrictions and availability pushes that produced them next to each booking. Failed channel pushes and dropped reservation pulls are logged, so the reservations desk knows before a guest arrives with a booking nobody sees.
Reservations confirmed on Booking.com, Expedia and the rest of your Cubilis channels land in Mews as the right stay, on the right rate plan, with the channel and commission attached. Availability and restriction changes from Mews flow back into Cubilis in one direction, so your front desk and your distribution desk stop fighting over which system had the latest number.
Each night, direct revenue from the Cubilis booking engine and OTA commission per channel land in Exact Online as the right journal entries, split across room revenue, booking fees and channel cost. Finance no longer reclasses commission as a deduction from gross revenue the next morning, and the monthly VAT return already has distribution cost broken out by the time it is opened.
Direct bookings paid through the Cubilis booking engine are matched against the Stripe charges and payouts that settled them, with fees, refunds and chargebacks pulled out separately per reservation. Night audit finishes with each direct booking either marked paid or flagged with the exact delta, instead of reconciling two exports against a reservation list by hand.
GA4 sessions and campaign parameters on the Cubilis booking engine are joined to the confirmed, non-cancelled direct reservations they produced. Marketing sees which campaigns pulled real paid stays rather than booking-engine clicks, and the direct-booking share has a number next to it that finance recognises on the P&L.
You keep the reporting tool you already have. We connect it to the warehouse where your Lighthouse Channel Manager (Cubilis) data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
A PMS tells you what happened in the hotel. Cubilis tells you what you sent to each channel and what each channel sent back. The interesting questions, like what an OTA really cost after commission or which rate plan silently broke parity, need both sides: the rate and restriction pushed out to Booking.com or Expedia, and the reservation that eventually landed in the PMS. Without Cubilis, those answers are one-sided.
Cubilis distributes to more than 200 channels, including Booking.com, Expedia, Airbnb and Google. In the warehouse, each channel becomes its own dimension on reservations, rates and commission, so reporting per channel and group-level channel mix are both first-class queries instead of a column extracted from a channel name string.
Stardekk became part of Lighthouse in February 2024, and the product is branded as the Lighthouse Channel Manager on the new domain, but the underlying channel-manager and booking-engine functionality are the Cubilis product. Our connector reads the same rate, availability, reservation and booking-engine objects regardless of which brand the login page shows today.
We review your Lighthouse Channel Manager (Cubilis) setup and the systems around it. Together we pick the first thing worth building.