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📈Analytics & Reporting

Comprehensive usage analytics, performance metrics, and on-demand reporting for your AI operations

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Data-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

Data Processing
2.1M
Total Requests
156k
This Month
847ms
Avg Response
97.3%
Success Rate

📊 Usage Analytics

Detailed usage patterns and trends

📋 Export Reports

Export reports on-demand

🎯 Performance KPIs

Key performance indicators tracking

💻 Terminal/CLI Commands

Analytics Collection & Viewing

# View analytics dashboard
hive analytics

# Collect latest analytics data
hive analytics collect

# View analytics for specific timeframe
hive analytics --timeframe week
hive analytics --timeframe month
hive analytics --timeframe quarter

Trend Analysis

# View usage trends
hive analytics trends

# Performance trends analysis
hive analytics trends --type performance

# Cost trends over time
hive analytics trends --type cost --period 6m

# Model usage patterns
hive analytics trends --by-model

Dashboard Export Capabilities

# Export complete dashboard data
hive export dashboard --format=json --type=executive
hive export dashboard --format=csv --type=operational
hive export dashboard --format=json --type=all

# Export specific dashboard types
hive export dashboard --type=live # Real-time metrics
hive export dashboard --type=kpis # All KPIs by category

# Export performance metrics
hive export metrics json
hive export metrics csv
hive export metrics prometheus

Dashboard Access

# View executive dashboard
hive dashboard executive

# View operational metrics
hive dashboard operational

# View live monitoring dashboard
hive dashboard live

# View all KPIs by category
hive dashboard kpis

🔧 IDE Integration (Claude Code, Cursor, Windsurf)

💡 MCP Tool Name: hive_reports - Access analytics and reporting features directly from your IDE

Analytics Collection

// MCP Tool Call
hive_reports({
action: "collect",
timeframe: "week"
})

Collect and analyze latest data

Trend Analysis

// MCP Tool Call
hive_reports({
action: "trends",
timeframe: "month"
})

View usage and performance trends

Generate Reports

// MCP Tool Call
hive_reports({
action: "report",
type: "executive"
})

Create detailed analytics reports

Performance KPIs

// MCP Tool Call
hive_reports({
action: "kpi",
dashboard: true
})

View key performance indicators

📊 Analytics Dashboard

Interactive Dashboard View

hive analytics dashboard
╔═══════════════ ANALYTICS DASHBOARD ═══════════════════╗
║ ║
║ 📈 Usage Overview (Last 30 Days) ║
║ Total Requests: 156,847 Daily Avg: 5,228
║ Success Rate: 97.3% Error Rate: 2.7%
║ ║
║ 🏆 Top Models by Usage: ║
║ • Claude 3.5 Sonnet 34% [██████████░░░░] 52,368 ║
║ • GPT-4o 28% [████████░░░░░░] 43,917 ║
║ • Gemini Pro 1.5 19% [██████░░░░░░░░] 29,801 ║
║ • Other models 19% [██████░░░░░░░░] 30,761 ║
║ ║
║ ⚡ Performance Metrics: ║
║ Avg Response Time: 847ms P95: 2.1s P99: 4.3s
╚═══════════════════════════════════════════════════════╝

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
# Export dashboard reports
hive export dashboard --format=csv --type=executive
hive export dashboard --format=json --type=operational
hive export dashboard --format=csv --type=all
# Use cron for scheduling exports

🚨 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
# View live dashboard alerts
hive dashboard live
# Export dashboard data
hive export dashboard --format=json --type=live
hive export dashboard --format=csv --type=kpis

💼 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
# Export team usage data
hive export dashboard --format=csv --type=operational

📅 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
# Export performance metrics
hive export dashboard --format=json --type=executive

🔗 Data Export & Integration

📤 Export Formats

  • CSV: Spreadsheet analysis
  • JSON: API integration
  • PDF: Executive reports
  • Excel: Advanced analytics
  • HTML: Web reports
  • Prometheus: Monitoring integration
# Export metrics data
hive export metrics csv
hive export metrics json

# Export analytics
hive export analytics

🔌 Third-Party Integrations

  • CSV/JSON: Export for external tools
  • Tableau: Import CSV data
  • Power BI: Import JSON data
  • Grafana: Custom dashboards
  • Prometheus: Metrics monitoring
# Export for third-party tools
hive export dashboard --format=json --type=all
# Import into external analytics platforms

✅ 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.

# Start exploring your AI analytics today
hive dashboard executive
hive export dashboard --format=json --type=executive
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