Purpose
1.2. Automate extraction, transformation, and aggregation from dispatch logs, EHR, call center reports, billing, and customer feedback forms.
1.3. Enable real-time visibility, accurate reporting, regulatory readiness, rapid escalation of anomalies, and eliminate manual compilation and errors.
Trigger Conditions
2.2. Manual override by management via dashboard or authenticated email command.
2.3. API/Webhook notification from ERP to confirm period closure and data lock.
Platform Variants
3.1. Microsoft Power BI
• Feature/Setting: API dataset refresh; configure scheduled refresh using Power BI REST API. Example: PATCH to update refresh schedule.
3.2. Tableau
• Feature/Setting: Tableau Server REST API—POST /schedules/{scheduleId}/runs to trigger extraction task.
3.3. Google Data Studio
• Feature/Setting: Data connector Google Sheets API; schedule script using Apps Script with onTrigger().
3.4. Salesforce
• Feature/Setting: Reports & Dashboards API; Automate report export via Analytics REST API—GET /analytics/reports/{reportId}/instances.
3.5. HubSpot
• Feature/Setting: CRM API; GET /crm/v3/objects to extract customer and service incident data.
3.6. Zendesk
• Feature/Setting: Incremental Export API; GET /api/v2/incremental/tickets.json for period ticket analytics.
3.7. ServiceNow
• Feature/Setting: Table API; GET /api/now/table/incident with sys_created_on parameters.
3.8. SAP BusinessObjects
• Feature/Setting: RESTful Web Service; trigger scheduled report via opendocument API.
3.9. QuickBooks Online
• Feature/Setting: Reports API; GET /v3/company/{companyId}/reports/{ReportName} for financial summaries.
3.10. Xero
• Feature/Setting: Accounting API – GET /reports/{reportID} for capturing P&L and balance analytics.
3.11. Oracle NetSuite
• Feature/Setting: SavedSearch API, schedule saved search extraction for financial/service KPIs.
3.12. AWS Lambda
• Feature/Setting: EventBridge trigger on schedule to start ETL Lambda function for analytics.
3.13. Google BigQuery
• Feature/Setting: Scheduled query using scheduler; extract and transform logs programmatically.
3.14. Snowflake
• Feature/Setting: Tasks and Streams; schedule SQL task to aggregate and write analytics.
3.15. Slack
• Feature/Setting: Web API chat.postMessage to management channel with analytics summary file at period close.
3.16. Microsoft Teams
• Feature/Setting: Graph API sendChatMessage; notify stakeholders with link to full report.
3.17. SendGrid
• Feature/Setting: Mail Send API; POST /mail/send with analytics PDF as attachment to management mailing list.
3.18. Twilio SMS
• Feature/Setting: Messages API; POST /Messages to send critical summary via SMS to key decision-makers.
3.19. Monday.com
• Feature/Setting: Boards API; update dashboard board with new analytic item or summary column.
3.20. Airtable
• Feature/Setting: API batch update; PATCH /v0/{baseId}/{tableName} to write new analytics snapshot.
3.21. Dropbox
• Feature/Setting: File Upload API; /2/files/upload to archive analytics packages.
3.22. Google Drive
• Feature/Setting: Drive API /files:create to upload and set permissions for report distribution.
3.23. SFTP Server
• Feature/Setting: Automated secure PUT job for analytics files to regulatory-accessible directory.
3.24. Freshdesk
• Feature/Setting: Reports API; GET /api/v2/reports for support volume and SLA stats.
3.25. Mailchimp
• Feature/Setting: Campaign API; POST /campaigns for sending mass management updates on analytics.
Benefits
4.2. Centralizes data from disparate silos into unified actionable insights.
4.3. Proactively escalates anomalies for immediate management review.
4.4. Frees up administrative bandwidth for high-value tasks and strategic initiatives.
4.5. Continuous year-over-year dashboarding enables better forecasting and resource allocation.