Analytics & ReportingPurpose
1.2. Ensure regulatory compliance and rapid response by generating accurate statistics for management and authorities.
1.3. Reduce manual errors, speed up reporting cycles, and enable real-time insights on common failure patterns and safety hazards.
1.4. Enable cross-departmental data fusion to support predictive maintenance and audit-readiness.
Trigger Conditions
2.2. Scheduled data pulls (e.g., hourly/daily) from maintenance modules, logbooks, or ticketing systems.
2.3. Manual trigger by QA/maintenance supervisor via dashboard.
2.4. Alerts from integrated sensors or digital forms signaling critical thresholds.
Platform Variants
• Flow: ‘When item is created’ in SharePoint → ‘List rows present in a table’ (Excel Online)
3.2. Zapier
• Trigger: New record in Airtable → Action: Update Google Sheets calculation
3.3. ServiceNow
• Flow: Business Rule (onInsert incident) → Report module → Schedule export
3.4. Salesforce
• Flow: Case object – Platform Event Trigger → Analytics API (Einstein Analytics)
3.5. Splunk
• Data Input: HTTPS event collector; Saved Search API for automatic report generation
3.6. Tableau
• Schedule: Refresh Extracts (from SQL Server/Azure) → Dashboard Email Task
3.7. AWS Lambda
• Event: S3 PutObject (CSV upload) → Analyze with boto3 (Python)
3.8. Google Cloud Functions
• Trigger: Pub/Sub message from maintenance database update → BigQuery API
3.9. Monday.com
• Automation: When status changes to “Incident Logged” → Integration → Google Docs Append
3.10. Smartsheet
• Automation: New Form submission → Notification/workflow → Collect summary rows
3.11. Slack
• Workflow Builder: Incident channel post → Trigger export via API (conversations.history)
3.12. Google Sheets
• Script: On Form submit → Trigger Apps Script to compile stats and email
3.13. Jotform
• Action: New form submission → Webhook → CRM integration
3.14. Asana
• Rule: Task tagged “incident” added → Reporting Dashboard API
3.15. Jira Service Management
• Automation: On Issue Created → JQL search & aggregate with REST API
3.16. Oracle Analytics Cloud
• Scheduler: Data Sync from ERP/HR → Automated Insight Delivery
3.17. Power BI
• Dataflow: DirectQuery to SQL → Scheduled Report Distribution
3.18. Notion
• Automation: New Database entry → Zapier Integration → Summary page update
3.19. IBM Cognos Analytics
• Job: ETL import from CSV/logs → Scheduled Report Generation
3.20. SAP Analytics Cloud
• Integration: Live Data Connection to SAP ERP → Scheduled Publication
3.21. PagerDuty
• Webhook: Incident Trigger → Analytics Module → Scheduled Export
3.22. Zendesk
• Trigger: Ticket Tag “incident” → Increment reporting metric via API
Benefits
4.2. Timely, reliable analytics support compliance/audit readiness.
4.3. Data fusion enables deeper root cause analysis and predictive insights.
4.4. Enables real-time and historical trend identification for proactive maintenance.
4.5. Standardizes reporting across distributed teams and platforms.