Data science in hospitality industry

[Audio] Data science in hospitality industry Villanueva, Marrianne vallerie a. Bshm 1c 05 may 2025 Good day, everyone! Today, we're going to talk about Data Science in the Hospitality Industry, a presentation prepared by Marrianne Vallerie A. Villanueva, Bachelor of Science in Hospitality Management 1 section C. Let's get started..

[Audio] Data science is the process of collecting, cleaning, analyzing, and visualizing data to find patterns and make informed decisions. It combines key components like data collection, data cleaning, statistical analysis, machine learning, and data visualization. By using these tools and techniques, data science helps turn raw information into useful insights that can guide actions in areas like business, healthcare, and technology. Data science is about working with data to learn new things and make smart choices. It starts with collecting information, then cleaning it up, looking for patterns, and showing the results in charts or graphs. Data scientists use tools like math, computer programs, and machine learning (which helps computers learn from data). This helps people and companies make better decisions in areas like business, health, and technology..

[Audio] In the hospitality industry in the Philippines, data science is increasingly being used to improve guest experiences and streamline operations through tools like Python, SQL, Tableau, Power BI, and machine learning platforms. For example: Hotels such as Seda Hotels and The Peninsula Manila use data from guest history, preferences, and feedback to tailor services—like room setup, welcome amenities, and promotions—using CRM systems, machine learning models, and data visualization tools. Hotel groups like Discovery Hospitality and Okada Manila analyze booking trends and seasonal demand to optimize pricing, promotions, and staff scheduling. They leverage tools like BigQuery, Python, and forecasting models such as Prophet to make data-driven decisions. Overall, data science is helping hotels in the Philippines become more efficient and guest-focused. By using modern tools and analyzing data, they can offer better services, make smarter decisions, and stay competitive in the growing hospitality industry..

[Audio] Why is Data Science Important in the Hospitality Industry? Better Decision-Making Improving Services Increasing Revenue It helps hotels make smarter decisions by analyzing data instead of relying on guesses, improving planning and operations. It improves services by understanding guest preferences and behavior, allowing hotels to offer personalized experiences like favorite room types or special deals. It increases revenue through better pricing, targeted marketing, and optimized resource management. Data science helps hotels learn what guests want and how they make booking decisions. By studying patterns like favorite booking methods and popular amenities, hotels can customize their services to better meet guest needs..

[Audio] Application of Data Science in Hospitality Industry Personalized Guest Experience Improving Operations Smart pricing Data helps hotels schedule staff and fix issues early, making operations smoother and saving money. Hotels use guest data to offer personalized services, like favorite meals or room choices, to make guests feel valued. Hotels adjust prices based on demand, using data to earn more and fill rooms. Data science helps the hospitality industry by enabling personalized guest experiences, smart pricing strategies, and more efficient operations. By using data, hotels can better meet guest needs, boost revenue, and run more smoothly..

[Audio] CONCLUSION Data science is essential in the hospitality industry because it helps hotels understand guest behavior, make smarter business decisions, and improve overall efficiency. By using data to personalize services, optimize pricing, and streamline operations, hotels can enhance guest satisfaction and stay competitive in a fast-changing market. Ultimately, data science turns information into action, leading to better experiences for guests and higher profits for businesses. Thank you all for your time and attention. I hope this provided valuable insights and sparked some new ideas. I'm happy to answer any questions, or discuss further if you'd like to connect after this. Thanks again!.