Data analytics for the travel, tourism & hotel industry

Take your hospitality business to new heights with visitor economy insights.

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Boost your hospitality business with
advanced analytics

Harness your data to optimize processes, anticipate customer needs, and increase sales.

Customer satisfaction

Improve the guest experience

  • Use tour, lodging, spending, or geolocation data to answer key questions and understand trends.
  • Use analytics to discover customer behavior, preferences, and patterns.
  • Offer personalized experiences, recommendations, and promotions based on customer data.


Maximize your bookings

  • Identify your ideal audience and attract the right customer.
  • Pinpoint the sources of your orders with ease.
  • Use predictive analytics to forecast demand, and adjust availability and pricing to maximize revenue and occupancy rates.


Turn strategic planning into operational intelligence

  • Get all data and reports in one place, from surface-level to deeper, strategic explorations.
  • Compare historic and future performance against competitive markets.
  • Analyze operational data to optimize resource use, including staff scheduling, inventory management, and maintenance planning.

Revenue streams

Grow your business with advanced franchise analytics

  • Give all your clients - from hotels to tour providers, local communities to event organizers - full visibility into the traveler and visitor economy.
  • Build new revenue streams through data monetization.
  • Share tiered data products (data visualizations, KPI reports,
and dashboards) with your client stakeholders.

Examples of travel, tourism & hotel dashboards

Discover how companies in the travel industry are using dashboards

Product insights

Product performance at-a-glance

An overview of performance across product lines and guest services - offering insights into revenue streams, guest spend, and product uptake.

  • Drill deeper for granular insights into guest spending behavior.
  • Customize visualizations to present key trends and predictions.
Booking overview

A birds-eye view of bookings and reservations

Hotels and travel companies can get a complete picture of booking status, including where the bookings came from and negotiated rate.

  • Easy to share with management and stakeholders
  • Fully customizable to match branding and color palette.

Discuss your use case with us

See how GoodData can help with your analytics goals.

  • Discuss your specific business needs.
  • Get a customized platform demo.
  • Q&A about how to implement GoodData.
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Why choose our BI platform?

Reasons travel and tourism companies love our platform include:

  • Advanced reporting, predictive analytics, drill-down options, and seamless integration with existing systems.
  • Flexible embedding options
  • Intuitive and user-friendly platform for users with various levels of technical expertise.
  • Great tools and infrastructure for data monetization.

A trusted platform, loved by users

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Common questions

The following features are the backbone of advanced analytics for the travel, tourism, and hotel industry. They enable organizations to extract meaningful insights from their data and use them to improve guest care, operational efficiency, and financial performance:

  • Data visualization provides interactive dashboards and reports that make complex data understandable at a glance. Visualization tools are essential for tracking tourism industry performance metrics, identifying trends, and communicating findings to stakeholders.
  • Self-service and ease of use encompass features such as drag-and-drop interfaces for ad hoc reporting, drill-down capabilities, customizable dashboards, and self-service analytics capabilities.
  • Flexibility in embedding enables travel reports, dashboards, or any data products to be embedded in environments where your users and clients need them.
  • Scalability ensures that a tourism BI tool can scale as your requirements change. Consider whether the tool you choose supports flexible data integration from multiple sources.
  • Data security and governance ensure that your and your clients’ data is secure and only accessible to those intended. Moreover, any changes made can be rolled out across your clients or to individual workspaces as required.
  • Predictive analytics and modeling help in proactive guest care management and optimized resource allocation.
  • Machine learning and AI enable the analysis of large datasets, learning from data patterns, and improvement over time.

Some of the ways you can leverage advanced analytics in hospitality industry include:

Customer insights and segmentation

  • Behavioral analysis: Use analytics to understand customer behaviors, preferences, and patterns. This can guide personalized marketing and service delivery.
  • Segmentation: Segment customers based on demographics, behaviors, and preferences to tailor marketing campaigns and offerings.

Dynamic pricing and revenue management

  • Pricing strategies: Implement models that use real-time data to adjust prices based on demand, seasonality, competition, and other external factors.
  • Occupancy optimization: Use predictive analytics to forecast demand and adjust availability and pricing to maximize revenue and occupancy rates.

Operational efficiency

  • Resource allocation: Analyze operational data to optimize resource use, including staff scheduling, inventory management, and maintenance planning.
  • Process optimization: Identify bottlenecks and inefficiencies in your operations to streamline processes and reduce costs.

Predictive analytics

  • Demand forecasting: Forecast future demand for services and accommodation to better prepare and adjust offerings.
  • Risk management: Predict potential issues and disruptions in operations or customer satisfaction, allowing for preemptive action.

Enhancing sustainability

  • Analytics can help measure and manage the sustainability efforts of a business, aiding in reducing carbon footprints and improving resource management.

Try GoodData yourself

See how GoodData can help with your analytics goals

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