Optimizing Hotel CRM System Decision Support with Big Data Analysis
Keywords:
big data analysis, Decision Support System (DSS), Customer Relationship Management (CRM), data mining, predictive modeling, statistical analysis, machine learning, hospitality industry, customer satisfaction, loyalty enhancementAbstract
This study delves into the application of big data analysis in hotel customer relationship management (CRM) systems for decision support, examining its impact on enhancing the speed and quality of hotel business decision-making. By integrating data mining, statistical analysis, and advanced analytical techniques, hotels can more accurately predict market demand, optimize customer service, and improve customer satisfaction and loyalty. The research findings indicate that the integration of big data analysis significantly strengthens hotel decision support systems, providing a competitive edge for the hotel industry. The paper also discusses challenges in the implementation process and proposes system optimization strategies based on feedback to ensure hotels can continuously adapt to market changes and technological innovations.
