Hospitality analytics has become essential for hotels, resorts, and lodging businesses that want to make better decisions with data. From room demand and occupancy trends to revenue performance and operating dashboards, modern hospitality teams need clear methods for turning business information into practical insight.

Hospitality Analytics: Revenue and Operations for Hotels provides a structured introduction to the analytical systems used in hotel management. It explains how hospitality data can support forecasting, pricing review, revenue management, operational planning, and performance reporting.

Inside, readers will explore how to analyze occupancy patterns, evaluate booking trends, interpret revenue metrics, build useful dashboards, and connect operational data to business decisions. The book focuses on practical concepts, clear frameworks, and applied workflows that can be used by hotel managers, analysts, finance teams, operators, and students of hospitality management.

Topics include:

Hospitality performance metrics and KPI design
Occupancy forecasting and demand analysis
Revenue management fundamentals
Pricing review and market positioning
Hotel operating dashboards and reporting systems
Guest, booking, and channel data interpretation
Forecasting workflows for lodging businesses
Data-driven decision-making in hotel operations

Designed for professionals and learners who want a clearer understanding of hospitality data, this book offers a practical foundation for using analytics across the hotel business.

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