FinTech Analytics Dashboard
A comprehensive financial analytics platform with real-time data visualization, AI-powered insights, and automated reporting for investment firms.
About This Project
This project was built for a leading investment firm that needed to consolidate financial data from multiple sources and provide their analysts with real-time insights. The platform handles millions of data points per day and provides predictive analytics using machine learning algorithms. The dashboard features custom interactive charts, real-time data streaming, and collaborative features that allow teams to share insights and make data-driven decisions faster.
Challenge
The client needed to consolidate data from multiple sources (Bloomberg, Reuters, internal systems) and provide actionable insights to their analysts in real-time. The existing system was slow, required manual data entry, and couldn't handle the volume of data being generated.
Solution
We built a scalable dashboard using React and Node.js with real-time data streaming capabilities. The system uses WebSockets for live updates, custom visualization components for financial data, and ML-powered predictions for trend analysis. We implemented a microservices architecture to handle high data volumes and ensure 99.9% uptime.
Results
- 40% faster decision-making process
- 60% reduction in manual reporting time
- 95.9% uptime achieved in production
- 10,000+ concurrent users supported
- Processing 5M+ data points daily
Key Features
- Real-time data streaming with WebSocket connections
- Custom interactive charts and data visualizations
- ML-powered trend predictions and anomaly detection
- Multi-user collaboration with shared dashboards
- Export reports in PDF, Excel, and CSV formats
- Role-based access control and audit logging
- Mobile-responsive design for tablets and phones
- Dark mode support for reduced eye strain
Tech Stack
React 18, Next.js 15, TypeScript, Tailwind CSS, Recharts, React Query
Node.js 20, Express, WebSocket API, REST API, JWT Authentication
PostgreSQL 16, Redis 7, TimescaleDB for time-series data
AWS EC2, S3, CloudFront CDN, Docker, Kubernetes, GitHub Actions CI/CD
Technologies
Client
TechCorp Financial Services