Analytics Dashboard

Overview

Key Features

Real-time Analytics

• Live user activity tracking
• Session tracking and analysis
• Event streaming with WebSocket
• Real-time notifications

Visualizations

• Interactive charts and graphs using D3.js
• Customizable dashboards
• Export capabilities (PDF, CSV)
• Comparison tools for multiple periods

Metrics Tracked

• User Engagement - Time on site, bounce rate, session duration
• Conversion Metrics - Funnel analysis, conversion rates
• Traffic Sources - Referrer analysis, campaign tracking
• Device Analytics - Browser, OS, device type breakdown

Technical Implementation

Real-time Data Pipeline

// WebSocket connection for real-time updates
const ws = new WebSocket("wss://analytics.example.com/events");

ws.onmessage = (event) => {
  const analyticsEvent = JSON.parse(event.data);
  updateDashboard(analyticsEvent);
};

Data Visualization

// D3.js integration for custom charts
export function CustomChart({ data }) {
  const svgRef = useRef<SVGSVGElement>(null);

  useEffect(() => {
    if (!svgRef.current) return;

    const svg = d3.select(svgRef.current);
    // D3 chart implementation
  }, [data]);

  return <svg ref={svgRef} />;
}

Performance

• Data Processing: Sub-second latency
• UI Updates: 60 FPS animations
• Concurrent Users: Support for 10,000+ simultaneous connections
• Data Retention: 2 years of historical data

Impact

• Helped clients increase conversion rates by 23% on average
• Reduced analysis time by 60% with real-time insights
• Improved user engagement tracking accuracy to 99.8%

Architecture

Frontend

• React with TypeScript
• D3.js for visualizations
• Redux for state management
• Material-UI for components

Backend

• Node.js with Express
• PostgreSQL for data storage
• Redis for caching
• RabbitMQ for event processing

Future Plans

• Machine learning anomaly detection
• Predictive analytics
• Custom metric builder
• API for third-party integrations