A holiday park, campground, or tourism organization needs to keep track of reservations, occupancy, revenue, guest flows, and availability at the same time. This information is usually spread across reservation systems, point-of-sale data, financial records, and other operational sources.
We bring this data together, helping you make better decisions about occupancy, dynamic pricing, capacity, sales channels, and changes in demand.
A holiday park or other recreation organization needs to know more than how many reservations have been made. You also want to see how occupancy, revenue, and length of stay are developing, which accommodations and packages perform well, and which sales channels guests use to book. You also need to know which price matches expected demand and where available capacity remains unused.
At the same time, day-to-day operations need to remain manageable. How many guests are expected in the coming days? Which accommodations will become available? Where will additional pressure arise for housekeeping, reception, food and beverage, or facility services? And can the planned occupancy be handled with the available people and resources?
These questions affect different parts of the organization. Commercial teams focus on demand, pricing, campaigns, and sales channels; operations focuses on arrivals, departures, and capacity; finance looks at revenue and returns; and management focuses on occupancy, forecasts, and profitability. Organizations with multiple locations, accommodation types, or external booking channels also need clarity about exactly where results are generated.
Reservation systems contain a wealth of data, but questions about occupancy, pricing, revenue, and capacity cut across bookings, accommodations, availability, guests, sales channels, and invoices. As a result, discrepancies sometimes become visible only after different exports and reports have been compared manually.
Reservations, availability, accommodation revenue, point-of-sale spending, and guest data are often stored in different systems. This makes it difficult to see immediately how demand is developing, which capacity is still available, and how much revenue a period, accommodation, or guest ultimately generates. Decision-making then starts with combining exports and aligning definitions rather than answering the question at hand.
Fixed pricing rules and historical averages do not always account for current booking pace, remaining capacity, season, length of stay, and trends in comparable periods. As a result, popular dates may be priced too low, while capacity remains unused during quieter periods.
The value of a reservation is not limited to the price of the accommodation. Guests also spend money on food and beverage, rentals, activities, packages, and other amenities. When reservation and point-of-sale data are not connected, it remains unclear which guests, stays, accommodations, and periods generate the most additional revenue.
Direct bookings, tour operators, and external booking platforms differ in volume, commissions, cancellations, length of stay, and guest type. Comparing only the number of reservations or gross revenue therefore does not provide a complete picture of each channel’s contribution.
Front desk, housekeeping, food and beverage, and facilities teams need forward-looking information on arrivals, departures, guest numbers, and occupied accommodations. When that information is fragmented or only becomes available at a late stage, capacity planning is driven mainly by experience and short-term needs.
A dashboard only becomes useful when it answers the questions that arise in day-to-day practice. For recreation and tourism organizations, this usually involves a combination of commercial management and operational planning.
A reservation system contains much of the data needed for analysis: reservations, guests, accommodations, locations, arrival and departure dates, availability, sales channels, and invoices. To use this data for decision-making, these elements need to be connected in a meaningful way.
A reservation is linked to a guest, accommodation, location, and stay period. The booking date provides different information from the arrival date or the actual dates of the stay. Available capacity changes due to bookings, options, cancellations, blocks, and maintenance. Revenue may come from accommodations, packages, products, and other spending during the stay. Only when these elements are properly connected can you reliably drill down from an overall view to the underlying reservation, guest, accommodation, invoice, or point-of-sale transaction.
Questions about dynamic pricing, actual profitability, and future capacity may require additional data. This could include historical demand, current booking pace, rates, commissions, costs, staff schedules, weather information, events, or point-of-sale data from other systems.
Guests, bookers, travel parties, countries of origin, and the relationships between different stays. By linking reservations over time to the same guest or customer, you can see who is booking for the first time, who returns, and which groups stay longer or spend more.
Bookings, options, cancellations, and declined reservations, including the booking date, arrival, departure, length of stay, number of guests, and reservation status. This allows you to analyze demand trends, booking pace, lead time, and cancellations by period, location, or type of stay.
Accommodation groups, accommodation types, individual locations, and daily availability. A distinction needs to be made between booked, available, and blocked capacity. This shows how much capacity is actually available for sale and where occupancy is lagging or rising quickly.
Rates, discounts, accommodation charges, packages, tourist taxes, invoices, and invoice lines. By linking revenue to reservations, accommodations, and days of stay, you can analyze metrics including average daily rate, revenue per reservation, ADR, and RevPAR.
Direct bookings, tour operators, booking platforms, campaigns, and other sales channels. Combined with origin, length of stay, cancellations, rates, and commissions, this shows which channels not only generate volume but also contribute to occupancy and revenue.
Spending on food and beverages, rentals, activities, retail, and other amenities during the stay. Combined with arrivals, departures, guest numbers, cleaning schedules, and available staff capacity, this data can be used to analyze guest value, plan operations, and manage profitability.
When reservations, guests, accommodations, availability, revenue, and sales channels are connected, they provide a single foundation for commercial, operational, and financial decision-making.
Analyze reservations, arrivals, occupied nights, and occupancy by period, location, and accommodation type. Comparing current bookings with previous years and similar stay periods shows where demand is ahead or behind, what capacity remains available, and where cancellations or blocks are affecting the picture.
Combine historical occupancy, current booking pace, remaining capacity, length of stay, and seasonal patterns. This helps commercial teams determine where rates can be increased, where a package or campaign is needed, and which periods require extra attention. For more advanced dynamic pricing, external factors such as weather, holidays, and events can also be added.
Bring together accommodation revenue, point-of-sale spending, products, packages, and other services. Drilling down from the total to a reservation, guest, accommodation, period, or amenity shows where revenue is generated and which guests or stays also contribute relatively high amounts through spending during the stay.
Compare direct bookings, tour operators and external booking platforms by volume, revenue, length of stay, cancellations and commission. Combined with country of origin, guest type and repeat visits, this shows which channels and target groups not only generate many reservations but also contribute to occupancy and revenue.
If you also want to connect website behavior, campaigns and the online booking process with final reservations and revenue, there are clear overlaps with Data & Analytics for e-commerce.
Give reception, housekeeping, food and beverage, and facilities teams insight into expected arrivals, departures, guest numbers and occupied accommodations. By combining these forecasts with staff planning and available resources, teams can prepare earlier for peak and quiet periods.
The same data foundation can also be used for management reporting, detailed checks and validation of reservation, availability and invoice data. This allows sales, operations, finance and management to work from the same definitions, without having to combine figures from different systems again for every report.
We’ll discuss the challenges your organization currently faces, which data is available and where the greatest opportunities lie for better management of occupancy, dynamic pricing, guest spending and sales channels.
For holiday parks and other organizations in recreation and tourism, we have developed Qlik applications that allow reservations, availability, revenue, accommodations, sales channels and guest data to be analyzed in a single environment.
The applications support different users, from management and sales to finance and operations. From overviews of revenue, occupancy and reservations, users can drill down to the underlying accommodations, locations, invoices and individual bookings.
Bookings, options, cancellations, available and blocked locations, and accommodation revenue are analyzed using the same data foundation. Users can compare developments by year, month, park, accommodation group, location and sales channel, and drill down to the reservation or invoice level when they identify discrepancies.
Analyses of countries of origin, length of stay, repeat bookings, ADR, RevPAR and sales channels show which guests, accommodations and channels contribute to occupancy and revenue. Additional point-of-sale data can also be used to track revenue by location and product group during a guest’s stay.
For a tourism organization outside the Netherlands, we developed an application that provides insight into expected arrivals, overnight stays, length of stay, occupancy rates and countries of origin. Current figures can be compared with the previous year, both overall and by month, accommodation and location.
Recreation and tourism involve several disciplines at once. Sales, revenue management, operations, finance and management each view the same reservations, guests, accommodations and revenue from a different perspective. We bring that information together and ensure that teams can make decisions based on the same definitions.
We start with the questions that need better answers. We then map the processes, definitions and data sources and determine which data is needed to connect reservations, guests, accommodations, availability, sales channels, revenue and capacity.
If the question extends beyond a single application, we can help with strategic consulting, data strategy, AI Readiness or an independent BI tool selection.
We build an analytics environment that becomes part of your own information infrastructure. It can connect the reservation system with point-of-sale data, finance, workforce planning, marketing, access control systems, and other sources relevant to managing your operations.
The setup is aligned with your definitions, processes, and existing IT environment. This means the solution is not limited to a fixed set of recreation dashboards but can be expanded with your own analyses, data sources, and applications. We have worked with TOMM/Tommy before; for other systems, we assess which integration options are available.
On that basis, we develop dashboards, analyses, and reports for areas including:
Where needed, we add dynamic pricing, planning, periodic reports, controls, and user input.
Depending on the existing environment, we work with Qlik, Power BI, Microsoft Fabric, TimeXtender, or a combination of these.
If you already have an analytics environment, we build on it where that makes sense. We can improve models and dashboards, add sources, harmonize definitions, or guide a migration. If you have doubts about the current approach, a Second Opinion Data & Analytics can be a good first step.
After delivery, we can support and manage the environment, allowing new locations, accommodations, pricing models, sales channels, and data sources to be added in a controlled way.
Data in recreation & tourism rarely resides in a single system. Reservations, availability, pricing, guest data, activities, sales channels, and financial results are often spread across multiple platforms and applications.
We combine data from reservation and park management systems, booking channels, financial software, Excel files, and custom systems into a single, coherent view.
We start with the decisions that need to be better informed. These may concern occupancy, pricing, booking pace, guest value, sales channels or operational capacity.
We then determine which definitions, processes and data sources are needed to answer those questions reliably. This prevents a broad data platform from being built before there is a clear use case.
No. The complexity of the organization matters more than its size. A midsize vacation park, campground, resort or other tourism organization may also work with multiple accommodation types, sales channels, locations and data sources.
The scope of the project should be proportionate to the organization. Sometimes a focused solution for a few important questions makes more sense than immediately implementing a broad data platform.
We can connect to reservation systems such as TOMM/Tommy, Recranet, EveryLeisure, Booking Experts and Stratech-RCS. We have worked with TOMM/Tommy before.
For each system, we assess which data and integration options are available, for example through an API, database, export or historical backup. We can also connect point-of-sale software, barrier and access control systems, financial administration, workforce scheduling, marketing platforms and other operational sources.
We build an analytics environment that aligns with your own data sources, definitions, processes and technical architecture. This also allows the data to be combined with sources outside the reservation system, such as finance, marketing, workforce scheduling, point-of-sale data and access control systems.
Where possible, we use reusable patterns and existing expertise, but the environment is not limited to a fixed set of standard dashboards. New sources, KPIs, analyses and applications can be added to the same environment later.
No. Reservations, availability, revenue, guest spending and workforce scheduling are often held in different systems.
We bring the relevant data together in a manageable data model without requiring the existing source systems to be replaced immediately. The analytics environment therefore becomes a connecting layer on top of the systems already in use.
Together, we define how options, cancellations, blocks, maintenance and accommodations taken out of service are handled.
We also determine which system is authoritative and the date on which a reservation, revenue or stay is counted. This gives sales, operations, finance and management the same basis for their work.
Yes. Each perspective answers a different question.
The booking date shows when demand arises and how booking pace develops. The stay date shows when capacity is used, revenue is generated and operational activity increases.
This is possible when the available data allows for a reliable link, for example through a reservation number, guest account, location or payment method.
If such a linking key is unavailable, we assess which analyses can still be performed responsibly and where data recording needs to be improved.
Yes. We can combine historical occupancy, current booking pace, remaining capacity, length of stay, season, and rates as a basis for pricing decisions.
For more advanced models, holidays, events, and weather data can also be added. The quality of the outcome still depends on the available data and the pricing rules selected.
Yes. We first map the existing data sources, models, dashboards, definitions, and management processes.
We then determine what can remain, what needs improvement, and which components would be better replaced. This can range from adding a few data sources to restructuring a data model or supporting a migration.
We need input from employees who understand reservations, availability, pricing, revenue, and operational processes.
They help establish definitions, verify results, and set priorities. A small group of subject matter owners and decision-makers is usually more effective than a large project team.
Yes. With a Second Opinion Data & Analytics, we can assess an existing environment, architecture, migration plan, or vendor proposal.
We assess alignment with your information needs, technical choices, manageability, costs, risks, and feasibility. The subsequent implementation does not have to be carried out by Bitmetric.
Want to know what insights your holiday park or recreation organization can gain from reservation systems, point-of-sale data, and other sources? Barry and Eric would be happy to discuss occupancy, dynamic pricing, guest spending, sales channels, and operational planning. Email us, call us, or schedule a call right away.