Real-Time Data Pipeline Enhancement for Customer Insights

As a growing SME in the banking and financial services industry, we recognize the critical importance of leveraging real-time data to enhance our customer service and engagement strategies. Our current data infrastructure, while functional, lacks the agility and speed necessary to process and analyze data streams effectively. We are looking to upgrade our data pipeline to incorporate cutting-edge technologies such as Apache Kafka for event streaming, Databricks and Spark for data processing, and dbt for transformation. The project will involve establishing a data mesh architecture to promote decentralized data ownership and integrate MLOps to allow for continuous deployment of machine learning models. Our objective is to gain deep, actionable insights into customer behavior and preferences, improve personalization of services, and increase customer satisfaction. The successful implementation of this project will position us to make more informed, data-driven decisions, ultimately enhancing our competitive edge in the market.