The Challenge
FinanceFlow's legacy system was built 10 years ago and couldn't handle the demands of real-time financial data processing. Their analysts were making decisions based on data that was hours old, putting them at a competitive disadvantage. The system frequently crashed during high-volume trading periods, and scaling was prohibitively expensive.
Our Solution
We architected a modern, cloud-native data pipeline using Apache Kafka for real-time data streaming, PostgreSQL with TimescaleDB for time-series data, and a React-based dashboard with WebSocket connections for live updates. The system processes millions of transactions per day with sub-second latency, includes predictive analytics powered by custom ML models, and features automated alerting for anomaly detection.
The Results
Technologies Used
"The real-time analytics platform ProsperousTech built for us is a game-changer. We now make data-driven decisions in real-time, and our analysts love the intuitive dashboard."
Michael Rodriguez
Head of Engineering, FinanceFlow