Real-Time Event Analytics Platform for Enhanced Guest Experience

Our company, a leader in the catering & events industry, serves high-profile clients demanding exceptional service quality and personalized experiences. We are embarking on a project to develop a state-of-the-art real-time event analytics platform that will revolutionize how we operate events and interact with guests. The platform will capture and process live data from various sources such as guest interactions, IoT devices, and social media to provide insights into guest preferences, event flow, and operational efficiencies. Leveraging technologies like Apache Kafka for event streaming, Spark for data processing, and Snowflake for data warehousing, we aim to build a robust system that supports real-time decision-making and enhances customer satisfaction. By implementing a data mesh architecture and utilizing MLOps best practices, the platform will ensure data observability and adaptability to changing customer needs. The project will also involve integrating dbt for data transformation and Airflow for orchestration, ensuring seamless data workflows. Our goal is to develop this platform over 12-20 weeks, aligning with industry trends and setting a new standard for event management.