Real-Time Customer Insights Platform Enhancement for Telecommunications Provider

As a rapidly growing telecommunications provider, we aim to stay ahead in the competitive market by offering superior services through data-driven insights. Our existing real-time customer insights platform needs enhancement to handle increased data volumes and complexity. The project involves re-engineering our data pipelines using technologies like Apache Kafka for event streaming and Spark for real-time analytics. The goal is to provide our marketing and customer service teams with immediate, actionable insights into customer behavior. This requires implementing MLOps for scalable machine learning operations and adopting a data mesh architecture to decentralize data ownership. Additionally, we need to enhance data observability to ensure robust pipeline performance and reliability. The successful completion of this project will enable us to improve customer satisfaction, reduce churn, and increase market share, making it a strategic priority.