Business Analytics in Hospitality and Tourism provides practical introduction to descriptive and inferential statistics, probability, and data analysis applications. Structured into systematic chapters, the text covers statistical concepts essential for hospitality and tourism research and decision-making. Through practical examples and exercises, the material demonstrates how analytics inform operational improvements, marketing strategies, and strategic planning. Each chapter progresses from fundamental concepts to advanced applications. Topics encompass data collection, descriptive statistics, probability distributions, hypothesis testing, regression analysis, and forecasting methods. Ethical considerations, data governance, and privacy receive emphasis ensuring responsible analytics practice. The book addresses contemporary analytics including big data, predictive analytics, and business intelligence tools. Industry-specific applications demonstrate analytics in revenue management, customer segmentation, and performance measurement. This resource serves hospitality management students, tourism researchers, industry analysts, and hospitality professionals. Through applied approach combining statistical rigor with hospitality contexts, the text develops analytical competence essential for data-driven decision-making, understanding market trends, and optimizing hospitality and tourism business performance through evidence-based insights.
