Real-Time Data Analytics Pipeline for Enhanced Guest Experience

In the competitive hospitality industry, delivering personalized experiences is paramount. Our global hotel chain is embarking on a project to build a robust, real-time data analytics pipeline to enhance guest satisfaction and streamline hotel operations. The project involves implementing a data mesh architecture that decentralizes data ownership, allowing each property to access and use data effectively. Using Apache Kafka for event streaming, Apache Spark for large-scale data processing, and Airflow for orchestrated workflows, we aim to ingest, process, and analyze guest-related data in real-time. This will enable us to personalize guest interactions, optimize resource allocation, and forecast demand more accurately. With dbt for data transformation and Snowflake or BigQuery as our data warehouse solution, we seek to ensure data accuracy and accessibility across the organization. The pipeline will be integrated with our existing CRM and property management systems, enabling real-time insights that drive strategic decisions. A successful implementation will position our brand as a leader in guest experience innovation.