The Challenge
Businesses were struggling with fragmented data sources and delayed insights. Traditional analytics tools couldn't handle real-time data processing at scale, leaving decision-makers with outdated information in fast-moving markets.
The Solution
Developed a high-performance analytics dashboard using React, D3.js, and WebSocket for real-time data streaming. Implemented Apache Kafka for event processing, PostgreSQL with TimescaleDB for time-series data, and Redis for caching. Added machine learning models for predictive insights.
Project Result
Processing 2M+ events per minute with sub-second latency. Reduced decision-making time by 70% with real-time insights. Improved business outcomes by 35% through predictive analytics and automated alerts for anomaly detection.