Documentation
📈Analytics & Reporting
Comprehensive usage analytics, performance metrics, and on-demand reporting for your AI operations
← Back to DocumentationData-Driven AI Operations
Transform your AI usage data into actionable insights with comprehensive analytics and on-demand reporting. Export your data in multiple formats for deeper analysis and make informed decisions with real metrics.
Analytics Summary
📊 Usage Analytics
Detailed usage patterns and trends
📋 Export Reports
Export reports on-demand
🎯 Performance KPIs
Key performance indicators tracking
🧪 CLI Usage
Trend Analysis
🔧 IDE Integration (Claude Code, Cursor, Windsurf)
💡 MCP Tool Name: hive_reports - Access analytics and reporting features directly from your IDE
Analytics Collection
Collect and analyze latest data
Trend Analysis
View usage and performance trends
Generate Reports
Create detailed analytics reports
Performance KPIs
View key performance indicators
📊 Analytics Dashboard
Interactive Dashboard View
Usage Patterns
- Peak hours: 10 AM - 12 PM
- Busiest day: Wednesday
- Weekend usage: 23% of weekday
- Growth rate: +18% month-over-month
Task Categories
- Code Generation: 42% (65,876)
- Research & Analysis: 31% (48,623)
- Content Writing: 18% (28,232)
- Data Processing: 9% (14,116)
Performance Trends
- Response time: -12% improvement
- Success rate: +2.4% increase
- Throughput: +34% increase
- User satisfaction: 4.7/5.0
📋 Export & Reporting
📅 Export Reports On-Demand
Generate and export reports whenever you need them. Use cron jobs for scheduled exports.
Available Reports:
- Daily usage summary
- Weekly performance report
- Monthly executive dashboard
- Quarterly business review
- Custom analytics reports
🚨 Threshold Monitoring
Monitor thresholds and generate reports when specific conditions are met.
- Performance degradation alerts
- Usage spike notifications
- Error rate threshold reports
- Cost anomaly alerts
- System health notifications
💼 Business Intelligence
Executive Insights
📈 ROI Analysis
- Time savings: 340 hours/month
- Cost per task: $1.23 average
- Productivity gain: +67% efficiency
- Quality improvement: 23% fewer revisions
📊 Key Metrics
- Daily active users: 247
- Tasks completed: 156,847
- Average session: 14.3 minutes
- User satisfaction: 4.7/5.0 stars
🎯 Team Performance
- Engineering team: 45% of usage
- Product team: 28% of usage
- Marketing team: 18% of usage
- Support team: 9% of usage
📅 Capacity Planning
- Current capacity: 78% utilized
- Growth projection: +45% next quarter
- Peak load times: 10-12 AM, 2-4 PM
- Scaling recommendation: Add 2 more licenses
🔗 Data Integrations
📤 Export Formats
- CSV: Spreadsheet-compatible exports
- JSON: Programmatic data integration
- Prometheus: Metrics scraping format
- Custom: Enterprise integrations
🔌 Third-Party Integrations
- CSV/JSON: Export for external tools
- Tableau: Import CSV data
- Power BI: Import JSON data
- Grafana: Custom dashboards
- Prometheus: Metrics monitoring
✅ Analytics Best Practices
Data-Driven Decisions
- Review analytics weekly
- Set up automated alerts
- Track key performance indicators
- Analyze usage patterns regularly
- Use data to optimize workflows
Reporting Strategy
- Create role-specific reports
- Schedule regular stakeholder updates
- Focus on actionable insights
- Combine multiple data sources
- Maintain data quality standards
📊 Analytics Success Formula
Successful AI analytics combines comprehensive data collection, intelligent analysis, and actionable insights. Focus on metrics that drive business decisions and optimize your AI investment for maximum ROI.
📈 Transform Data into Insights
Unlock the full potential of your AI operations with comprehensive analytics and intelligent reporting. Make data-driven decisions that optimize performance, reduce costs, and drive business value.