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Reports, Analytics & Dashboards

Analyze Matomo Analytics Weekly with AI

On a schedule or manual run, it pulls Matomo traffic data, sends it to an AI model for analysis and stores the report in Baserow.

What it does

# Matomo Analytics Report ## Overview Automated workflow: Matomo Analytics Report. This workflow integrates 7 different services: stickyNote, httpRequest, code, scheduleTrigger, stopAndError. It contains 14 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 14 - Node Types: 7 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When clicking ‘Test workflow’: manualTrigger - Schedule Trigger: scheduleTrigger - Get data from Matomo: httpRequest - Parse data from Matomo: code - Send data to A.I. for analysis: httpRequest - Store results in Baserow: baserow - Sticky Note: stickyNote - Sticky Note1: stickyNote - Sticky Note2: stickyNote - Sticky Note3: stickyNote - ... and 4 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. When clicking ‘Test workflow’
  2. Schedule Trigger
  3. Get data from Matomo
  4. Parse data from Matomo
  5. Send data to A.I. for analysis
  6. Store results in Baserow
  7. Error Handler
  8. Stopanderror 1
  9. Error Handler for 760a87e3
  10. Error Handler for 387832ee
  11. Error Handler
  12. Error Handler
  13. Error Handler
  14. Error Handler

25 steps in total.

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