Real-time Analytics Platform for Enhanced Sports Fan Engagement

In the competitive Sports & Recreation market, fan engagement is crucial to sustaining and growing a loyal audience base. Our SME company is embarking on a transformative project to develop a real-time analytics platform that leverages event streaming and data engineering technologies. The goal is to capture and analyze data from various sources during live sports events, such as social media, in-stadium sensors, and digital platforms, using Apache Kafka and Spark for real-time processing. This platform will enable us to understand fan behavior dynamically and deliver personalized content and promotions through various channels, enhancing their experience. By implementing dbt for data transformation and Snowflake for data storage, we can ensure a scalable and efficient data architecture. The data insights will be visualized in user-friendly dashboards, helping marketing and operational teams make informed decisions instantaneously. The project will adhere to MLOps practices to integrate machine learning models that predict fan preferences and optimize engagement strategies.