BIG DATA

Royal Caribbean collects a wide amount of data to enhance its passenger experiences and optimise its daily operations using mobile applications, wearable technology, onboard purchase habits and facial recognition technology. The company gathers in time insights into its customer's behaviour(dominion.cs, 2019) . This is shown by the big data analytics theory which focuses on the 4 vs of big data; volume, velocity, variety and veracity (Marr, 2021) .By using this big data Royal Caribbean enhances and improves customer satisfaction decision making and boosts efficiency .The Royal Caribbean app tracks guest preferences, dining reservations, and excursion bookings, while RFID-enabled wristbands monitor movement and onboard spending (Blanquera, 2023) . Facial recognition speeds up check-in and enhances security (High, 2019) . Guest feedback from surveys and social media interactions is analysed using AI and machine learning to personalise experiences.

Big Data Analytics follows four key principles:

Volume – Processing large amounts of structured and unstructured data, such as transaction history and social media feedback .

Velocity – Real-time data analysis optimises onboard services and dynamic pricing .

Variety – Data sources range from IoT devices to customer feedback, ensuring deep insights .

Veracity – AI-driven models enhance data accuracy and filter inconsistencies (Belcastro et al., 2022)  .

Conclusion

By integrating Big Data Analytics, Royal Caribbean personalises customer experiences, enhances operational efficiency, and improves strategic planning. As data technologies evolve, the company will continue refining its services for a seamless cruise experience.