Project Overview
A comprehensive real-time business intelligence dashboard that processes millions of data points to provide actionable insights for decision-makers. Built for enterprise deployment, the platform aggregates data from CRM, ERP, and analytics systems into a unified, interactive visualization layer.
Timeline
January 2024 - March 2024
Tech Stack
React 18
TypeScript
Node.js
MongoDB
WebSockets
Chart.js
Docker
Key Features
- Real-Time Data Streaming: WebSocket-based updates every 30 seconds without page refresh
- Customizable Widgets: Drag-and-drop dashboard builder with 20+ widget types
- Role-Based Access: Granular permissions controlling data visibility by team/department
- Interactive Visualizations: Charts, graphs, and tables with drill-down capabilities
- Automated Reports: Scheduled PDF/Excel report generation and email delivery
- Alert System: Configurable alerts for KPI thresholds and anomalies
- Mobile Responsive: Full functionality on tablets and smartphones
Technical Highlights
Microservices Architecture
- Frontend: React SPA with TypeScript for type safety
- API Gateway: Node.js/Express routing to backend services
- Data Service: Aggregates from multiple sources with caching
- WebSocket Service: Handles real-time push notifications
- Report Service: Background workers for PDF/Excel generation
Performance Optimizations
- MongoDB aggregation pipeline for fast analytics queries
- Redis caching reduces database load by 70%
- React.memo and useMemo prevent unnecessary re-renders
- Virtual scrolling for large data tables
- Lazy loading of chart libraries
Success Story
The Sales Operations team used the dashboard to identify a 15% drop in conversion rates in one region. Real-time visibility enabled immediate investigation, revealing a pricing configuration error. Fix was deployed within 2 hours, preventing an estimated $200K in lost revenue that month.
Challenges & Solutions
Challenge: Data Source Integration
Problem: Connecting to 5 different systems (Salesforce, SAP, custom DBs) with varying APIs.
Solution: Built adapter pattern with standardized internal data model. Each source has a dedicated adapter that transforms data into common format.
Challenge: Real-Time Performance
Problem: Initial implementation caused browser lag with 100+ connected clients.
Solution: Implemented selective subscriptions - clients only receive updates for visible widgets. Added throttling and batching for high-frequency updates.
Lessons Learned
- User Testing is Critical: Weekly demos with end users prevented building unwanted features
- Start with Core Use Cases: Focused on top 3 reports first, added others based on demand
- Performance Monitoring: Added telemetry from day one to catch performance regressions early
- Documentation Matters: Comprehensive widget documentation reduced support requests by 60%
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