Hotel Business Intelligence Software

See business performance as it happens with Cloudbeds Insights

Real-time visibility into reservations, revenue, payments, occupancy, and performance across every property, with custom reporting and API connections to your enterprise BI stack.

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One reporting environment for your entire hotel business

See what’s changing while there is still time to act

Hotel performance changes minute to minute — bookings, cancellations, payments, availability. Most reporting tools update every few hours, so your team is often working from an outdated picture. Cloudbeds Insights runs in real time: occupancy, ADR, RevPAR, booking pace, and channel performance, all current. Spot the shift as it happens, act before the opportunity’s gone.

Build the views your teams actually need

Standard dashboards cover the common questions. For more specific ones — a property, portfolio, department, or market — Custom Builder gives your team full control: choose fields, apply filters, group data, and combine multiple visualizations in one report. The result is reporting built around how each team actually works, not a one-size-fits-all view.

Bring Cloudbeds data into your wider tech stack

Some teams work in Cloudbeds. Others need that data in a warehouse, finance platform, analytics tool, or internal app. Cloudbeds Insights supports both — pull saved reports via the Report API, or sync broader operational data via the Data API, so Cloudbeds data flows into the systems your business already uses.

Reporting built around hotel operations.

Cloudbeds Insights turns live property data into ready-made hotel dashboards and no-code custom reports.

Current data across the Cloudbeds platform

Cloudbeds Insights uses information from reservations, guests, occupancy, payments, distribution, and daily hotel operations.

Because reporting is built into the same platform, teams work from the same underlying data as the people running the property.

Hospitality-specific dashboards

Start with dashboards designed around hotel performance rather than generic business reporting.

Review occupancy, ADR, RevPAR, booking activity, booking window, channel contribution, room revenue, reservations, payments, and other areas of performance without rebuilding basic hotel metrics.

Custom Builder

Create reports around specific business questions.

Select the fields to include, define how the information should be grouped, apply filters using familiar language, and combine tables and visualizations into a single dashboard-style report.

There is no technical setup required before building the report.

Clearer analysis across every property.

Cloudbeds Insights unifies portfolio reporting, drill-down detail, and shared, role-based access in one view.

Multi-property reporting

Review performance across a hotel group from one reporting environment.

Corporate and regional teams can compare properties, apply consistent reporting definitions, and identify where results differ across the portfolio.

Property teams retain access to the information relevant to their own operation.

Drill into the detail

Move from a summary metric into the records behind it.

When a number changes unexpectedly, users can investigate the reservations, guests, transactions, or other activity contributing to the result.

This makes it easier to validate figures, answer questions from leadership, and understand what is driving performance.

Shared reports and viewer access

Give colleagues access to the reports relevant to their roles.

Reports can be shared with teams across the organization, while viewer access allows stakeholders to review information without changing the report itself.

This helps maintain consistency across regular business reviews.

Data access that fits your organization.

Cloudbeds Insights syncs data into external tools via API and accounting/ERP connections, cutting out manual rework.

Report API

Use saved Cloudbeds reports in external workflows and applications.

The Report API allows organizations to retrieve report results programmatically, supporting recurring reporting, finance processes, internal tools, and other workflows based on defined Cloudbeds reports.

Data API

Synchronize Cloudbeds operational data with external systems.

Hotel groups can bring Cloudbeds data into a data warehouse, analytics platform, financial environment, or internally developed application for more advanced analysis and cross-business reporting.

Accounting and ERP connections

Map Cloudbeds data into the structures used by finance and enterprise systems.

This helps organizations maintain consistent data across operational, financial, and analytical workflows without rebuilding the same information manually in multiple tools.

Designed for the way hotel teams work.

Cloudbeds Insights offers one reporting home, role-appropriate detail for every team, and scales as the business grows.

A common reporting home

Dashboards, saved reports, custom reports, and subscriptions are available from one reporting area inside Cloudbeds.

Users can find the information available to them, return to frequently used views, and move between prebuilt and custom reporting without navigating separate products.

Reporting for different roles

Property teams can review daily operations. Revenue teams can monitor pace and channel performance. Finance teams can access the data needed for reporting and reconciliation. Leadership can compare performance across the group.

Each team works with the level of detail appropriate to its role.

Data that stays useful as the business grows

Cloudbeds Insights supports individual properties, growing hotel groups, and larger multi-property organizations.

Teams can start with reporting inside Cloudbeds and expand into broader data workflows as the business and technology stack become more complex.

See more clearly across your entire hotel business.

Review current performance inside Cloudbeds, create reporting around the questions that matter, and make Cloudbeds data available across your wider organization.

Real stories. Real results.

“We saw our business grow and achieve a 90% occupancy rate through Cloudbeds’ reports. Now, I check the reports daily and it’s the end of guesswork.”

Paulo Munarin

Co-owner of Pousada Da Praia de Caraíva

“Cloudbeds helps us to paint a picture of what we’re doing as a business… it gives us a really clear understanding of how our properties are performing so we know what areas to focus on improving.”

Norma Lopez

General Manager at Hotel McCoy

“With Cloudbeds, we have historical data that we can use to look forward. We’re able to be more involved in the market than we were previously. It’s such a powerful thing to have at my fingertips.”

Courtney Driessen

Lodging and Revenue Manager at Fireside Resort

“We really like how Cloudbeds offers two tiers of reports – Classic Reports that are self explanatory and easy to use for less advanced users and very flexible Advanced Reporting feature that lets our data scientists slice and dice the data – a big reason why we are rolling out Cloudbeds in bigger hotels that have much bigger needs when it comes to data analysis.”

Karol Zymek

Founder at Rockenue

“From occupancy and ADR reports to weekly or monthly reservation tracking, we can monitor every aspect of our operation and make informed decisions that drive growth.”

Alexandros Sofianos

CEO of Hotel Leto Hydra

“The custom builder helps us grow our business by being able to see and act on data wherever and whenever I want… the data insights portal is my favorite invention from Cloudbeds.”

Sahad Kassam

Director of Asset Management at Roadside Hospitality

FAQs

How does hotel business intelligence work?

Business intelligence helps hotels understand business performance and provide them with actionable insights across all areas of their business. Instead of pulling data from your property management system, point of sale, channel manager, and booking engine into a spreadsheet by hand, BI tools bring it all into one place — room rates, Average Daily Rate (ADR), occupancy, market data, and OTA performance included. From there, revenue management stops being guesswork and starts being strategy: benchmarking against competitor rates, spotting where market demand is heading, and adjusting before the market moves without you.

What KPIs should hotels track using BI tools?

Common revenue analytics metrics include:

Average daily rate (ADR)

Revenue per available room (RevPAR)

Total revenue per available room (TRevPAR)

Gross operating profit (GOP)

Common financial reporting and accounting metrics include:

Folio transactions

Deposits

Taxes and fees

Revenue

Adjustments

Voids and refunds

Billing information

Operationally, a growing number of hotels are also tracking labor management data, operational costs, and POS revenue (F&B, ancillary spend) alongside these — since a full picture of profitability includes what a stay costs to deliver and what it earns beyond the room, not just the room rate itself.

What should you look for in hotel business intelligence software?

Data visualization and fully customizable real-time dashboards, native multi-property reporting, easy sharing and collaboration, automated reports, market intelligence and self-service analytics. Look for a BI solution built for hospitality specifically — one that treats a market segment, a channel, and a property the same way a revenue manager already thinks about them — and that makes data collection and data management simple instead of another manual reporting chore.

What is the most popular business intelligence software for hotels?

Cloudbeds Insights, Lighthouse, Amadeus, Duetto, D-Edge, M3 Insight, STR and Cendyn are a few of the leading hospitality business intelligence tools. Some hotels also lean on distribution-first platforms like SiteMinder for channel and OTA-side reporting, though that’s a narrower slice of the picture than full BI.

Finding the right solution for your hotel depends on a variety of factors, from user experience and pricing to functionality and support.

How does Cloudbeds Insights differ from other hotel BI tools?

Most hotel BI tools are generic, built for any industry, then connected to hospitality data through exports, connectors, or middleware. Cloudbeds Insights is different because reporting is built directly into the platform itself, on the same unified data Cloudbeds runs on. Teams reviewing performance are working from the same underlying data as the people actually running the property, not a copy of it.

Insights is also built specifically for hospitality, with metrics like occupancy, ADR, RevPAR, booking window, pickup, and channel performance already embedded — nothing to adapt from a generic dataset.

That shows up in a few concrete ways. Because the connection to that data is instantaneous rather than synced on a schedule, reporting reflects activity as it happens — bookings, cancellations, payments, pace — so teams can investigate a change while there’s still time to act on it, instead of waiting for the next refresh cycle. Custom Builder lets teams choose fields, apply filters, and define how information is grouped, which means reporting can be segmented around the actual question, by property, department, channel, or guest behavior, instead of being boxed into a fixed, generic dataset. Teams can also move directly from a report into the relevant reservation or guest record, turning insight into action without leaving Cloudbeds.

For data that needs to live outside Cloudbeds, the Report API pulls saved reports into existing workflows, and the Data API syncs broader operational data into a warehouse, analytics tool, or finance system — keeping that same trusted data available across the systems the business already runs on.

How do revenue management systems (RMS) fit into hotel business intelligence?

A revenue management system takes BI a step further — from telling you what happened to recommending what to do next. An RMS applies demand forecasting and dynamic pricing to your property’s specific patterns, using machine learning and predictive analytics to model how rate changes, market segment mix, and OTA demand interact before you commit to a number. The best RMS tools don’t operate in isolation from your BI layer; they draw on the same PMS and market data, so the pricing recommendation and the performance report are telling the same story.

How does machine learning improve demand forecasting and reduce manual reporting?

Machine learning gives demand forecasting a memory. Rather than applying a fixed rule (“raise rates when occupancy hits X%”), a model trained on your property’s history, guest feedback, and market data learns which combinations of signals actually move demand, and gets more accurate the longer it runs. That’s also where manual reporting starts to disappear: instead of a revenue manager rebuilding the same pace report every Monday from PMS and channel manager exports, predictive analytics surfaces the pattern automatically, freeing that time for the decisions a spreadsheet can’t make for you.

How does BI connect to a central reservation system (CRS) for multi-property groups?

For groups running several properties — often on a shared central reservation system, or CRS — business intelligence is what turns individual property data into portfolio-level visibility. Instead of comparing five separate PMS exports by hand, a connected BI layer pulls booking, rate, and channel manager data from every property into one comparable view, so a regional revenue lead can benchmark properties against each other and against the market in the same dashboard.