Analytics Dashboard
Interactive data visualization dashboard with real-time metrics, custom reports, and user analytics.
Project Overview
The Analytics Dashboard empowers business stakeholders to track key metrics and gain insights from their data in real-time. The platform supports custom dashboard creation, scheduled reporting, and data export.
Features
Real-time Metrics
Live updating dashboards pull data from multiple sources and display current metrics with minimal latency.
Custom Dashboards
Users can create personalized dashboards by selecting from a variety of visualization options.
Advanced Visualizations
- Line charts for time series data
- Bar charts for comparisons
- Pie charts for composition
- Heat maps for pattern detection
- Scatter plots for correlation analysis
Scheduled Reports
Automated report generation and email delivery on a configurable schedule.
Data Export
Users can export data in multiple formats (CSV, Excel, PDF) for further analysis.
Technical Stack
Data Processing
- Redis for real-time metric caching
- PostgreSQL for historical data
- Apache Kafka for event streaming
Visualization
- D3.js for custom visualizations
- Plotly.js for standard charts
- Mapbox for geographic visualizations
Backend
- Node.js with Express
- GraphQL API for flexible data queries
- WebSocket for real-time updates
Performance Considerations
- Aggregation of metrics at various time intervals
- Caching strategies to reduce database load
- Progressive chart loading for better UX
- Efficient data transfer using compression
Results
The dashboard has become instrumental in data-driven decision making, with over 100 active dashboards tracking key business metrics across the organization.
Project Impact
📈 100+ dashboards created