Our hospitality company seeks a data engineering solution to enhance guest experience using real-time analytics. By integrating data from multiple sources, we aim to personalize services, optimize operations, and improve satisfaction. The project involves creating a robust, scalable data infrastructure leveraging the latest technology trends and tools like Apache Kafka and Databricks.
Medium-sized hotel chains and resorts looking to enhance guest experience and operational efficiency through data-driven insights.
The current challenge is the inability to quickly process and analyze data from various guest interaction points, leading to a generic guest experience and operational inefficiencies.
The hospitality industry is facing competitive pressure to enhance guest experiences, and the ability to provide personalized services in real-time is a significant competitive advantage.
Failure to solve this issue will result in lost revenue due to dissatisfied guests, reduced repeat business, and falling behind competitors who offer more personalized services.
Currently, many companies rely on delayed batch processing systems, which fail to provide the immediacy and personalization that real-time analytics can offer.
Our project uniquely combines real-time processing with an integrated approach to data mesh, ensuring each department can leverage data for actionable insights while maintaining data integrity across the organization.
We plan to showcase our enhanced guest experiences and operational efficiencies through targeted marketing campaigns, partnerships with travel agencies, and testimonials from satisfied customers who have benefited from personalized services.