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FinTech Analytics Platform
Real-time financial analytics processing millions of transactions daily.•
Active Project
Project Overview
## Challenge
Our client, a leading fintech innovator, needed a powerful dashboard to visualize complex financial data in real-time. The goal was to empower their analysts to detect fraud, identify market trends, and make data-driven decisions instantly.
## Solution
We engineered a high-performance analytics platform with a custom data visualization library. Key features include:
- **Real-time Data Streaming**: Sub-second latency for transaction monitoring
- **Interactive Visualizations**: Customizable charts and graphs built with D3.js
- **Anomaly Detection**: ML models that flag suspicious activity automatically
- **Secure Architecture**: End-to-end encryption and compliance with financial regulations
- **Multi-tenant Support**: Isolated data views for different business units
## Results
- Processing 10M+ transactions per day with <100ms latency
- 95% reduction in fraud detection time
- 40% increase in analyst productivity
- Full PCI DSS and SOC 2 compliance achieved
## Technologies Used
- Next.js 15 for the frontend dashboard
- Node.js with TypeScript for the backend API
- PostgreSQL for transactional data
- Redis for caching and real-time updates
- Apache Kafka for event streaming
Our client, a leading fintech innovator, needed a powerful dashboard to visualize complex financial data in real-time. The goal was to empower their analysts to detect fraud, identify market trends, and make data-driven decisions instantly.
## Solution
We engineered a high-performance analytics platform with a custom data visualization library. Key features include:
- **Real-time Data Streaming**: Sub-second latency for transaction monitoring
- **Interactive Visualizations**: Customizable charts and graphs built with D3.js
- **Anomaly Detection**: ML models that flag suspicious activity automatically
- **Secure Architecture**: End-to-end encryption and compliance with financial regulations
- **Multi-tenant Support**: Isolated data views for different business units
## Results
- Processing 10M+ transactions per day with <100ms latency
- 95% reduction in fraud detection time
- 40% increase in analyst productivity
- Full PCI DSS and SOC 2 compliance achieved
## Technologies Used
- Next.js 15 for the frontend dashboard
- Node.js with TypeScript for the backend API
- PostgreSQL for transactional data
- Redis for caching and real-time updates
- Apache Kafka for event streaming
Project Links
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- ✓Documentation
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Intelligent Tech Stack
AI-Optimized Architecture
Frontend
- Next.js
Other
- FinTech
- Real-time
- Data Visualization
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External Links
Live demos, case studies, and additional project resources
- ✓Live Demo
- ✓Case Study
- ✓Testimonial
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Project Summary
Real-time financial analytics processing millions of transactions daily.
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