Hotel Business Intelligence Software Development for Operators and Groups

One place where reservation records and spend land in a shape you can actually query. We settle the grain first, because a room night counted twice in the warehouse turns into a revenue figure your finance team stops trusting by month end.

Reservation data arrives from your property management system, while channel and payment feeds arrive on their own schedules. Our engineers write the extraction together with the retry logic, so a load that fails overnight doesn't leave a quiet gap in yesterday's occupancy.

RevPAR means one thing in your revenue meeting and something slightly different in the PMS export. ELITEX build the layer that fixes each definition once, so two dashboards reading the same period return the same answer.

Your revenue manager should be able to ask a new question without waiting for a developer. We build the semantic model behind the dashboards, which is what lets someone slice by segment or property without writing SQL and without breaking the numbers.

Pace reporting helps when it compares this week against the same point in last year's booking curve. We build that comparison into the model, so a forecast reacts to the shape of demand and not to one strong Tuesday.

A silent pipeline failure is worse than a loud one, since the dashboard keeps rendering stale numbers as though they were fresh. We build freshness checks and threshold alerts into the pipeline, so someone hears about a broken load before a rate decision rests on it.

We settle the warehouse schema and the metric definitions before any dashboard gets designed, since both are the hardest things to change once reporting history exists. Visualisation and forecasting come after the pipeline holds under a full booking cycle.

Many of our clients have outgrown a hosted analytics product and need the same reporting logic running on a stack they control. So ELITEX rebuild the data model and the metric layer on owned infrastructure, matching current figures first and improving them second.

A PMS and a channel manager rarely agree on when a booking becomes revenue, and that disagreement surfaces as an occupancy chart that never quite matches the finance report. We build the translation layer that reconciles those definitions, including the cases where one system treats a cancellation as removed while the other keeps it in the ledger.

In case of migration, we map historical reservation and revenue data onto the new schema, then reconcile both datasets before anyone retires the old reporting. Parallel running through a full month catches what the mapping missed.

The system stays, and one piece of it gets built or replaced. Forecasting logic and segment definitions tend to be the modules clients want written to their own commercial rules.

Someone has to handle the PMS vendor that changes its API without warning. That's why ELITEX keep the pipelines current and stay available for the loads that break at the wrong hour.