Every reservation, review, and room-service order a hotel generates is a data point — the professionals who know how to read them are the ones who spot problems before they show up on the balance sheet. Practical Data Analytics for Hospitality Professionals Training Course, offered by Arab British Fellowship Training Academy, is one of the specialised Hospitality & Tourism Management Courses built to help hospitality professionals put Hospitality Analytics to work on real operational problems.

The programme walks participants through collecting, interpreting, and reporting on hospitality data — from guest behaviour and business intelligence to hotel analytics and predictive forecasting — using hotel, resort, restaurant, and tourism case studies. By the end, participants can turn everyday operational data into forecasts, dashboards, and decisions that strengthen performance and competitive positioning.

By the end of this programme, participants will be able to:

• Understand the role of big data and its applications in hospitality.
• Collect, organise, and analyse hospitality data effectively.
• Use customer insights to personalise services and enhance guest experiences.
• Apply business intelligence tools and interpret hotel analytics reports.
• Measure hospitality KPIs and business performance indicators.
• Develop forecasting models for occupancy, revenue, and customer demand.
• Improve strategic planning through data-driven decision-making.

Target Audience

This course is suitable for:

• Hotel managers, supervisors, and hospitality executives.
• Tourism, revenue, and operations managers.
• Marketing professionals in hospitality and business analysts.
• Customer experience managers.
• Entrepreneurs and professionals seeking advanced skills in Hospitality Analytics.

Module 1: From Guest Data to Better Decisions

• Role of big data in hospitality.
• Types of hospitality data.
• Data-driven decision-making fundamentals.

Module 2: Collecting and Governing Hospitality Data

• Data sources and collection methods in hospitality.
• Data storage and organisation.
• Data quality and governance.

Module 3: Understanding Guest Behaviour Through Data

• Analysing guest preferences and segmentation techniques.
• Personalisation strategies.
• Guest satisfaction measurement.

Module 4: Hotel Performance and Operational Analytics

• Business intelligence concepts and reporting tools.
• Occupancy and revenue analysis.
• Operational efficiency and benchmarking hotel performance.

Module 5: Revenue, Pricing, and Predictive Analytics

• Revenue management principles and dynamic pricing.
• Predictive modelling and demand forecasting.
• Trend analysis and risk identification.

Module 6: Marketing and Digital Performance Analytics

• Marketing performance and campaign effectiveness measurement.
• Social media analytics.
• Customer acquisition metrics.

Module 7: Visualising and Communicating Analytical Insights

• Dashboard design principles.
• Data visualisation techniques and KPI reporting.
• Presenting analytical findings.

Module 8: From Insights to Strategy

• Strategic planning using analytics.
• Business performance optimisation.
• Data privacy, ethical considerations, and future trends.