Automated generation and distribution of performance dashboards

Purpose

 1.1. Automate the collection, processing, analysis, and visualization of performance data from multiple subsystems in desalination plants.
 1.2. Provide real-time, automated dashboards for corporate visibility into production metrics, compliance status, energy consumption, chemical dosages, equipment health, and regulatory KPIs.
 1.3. Automate scheduled and event-driven distribution (email/SMS/Slack/Teams) of performance dashboards to key corporate administration and compliance personnel.
 1.4. Reduce manual reporting overhead, minimize errors, and allow leadership to focus on preventative and strategic actions by automating performance monitoring and compliance oversight.

Trigger Conditions

 2.1. Automated scheduling (e.g., daily/weekly/monthly triggers) for dashboard generation.
 2.2. Real-time or batch data receipt from SCADA/IoT/plant management software triggers automation of processing and visualizations.
 2.3. Compliance deadline proximity triggers automated dashboard creation and distribution.
 2.4. Detecting anomalies or threshold breaches via plant monitoring automates immediate dashboard updates and alerts.

Platform Variants

 3.1. Microsoft Power BI
  – Feature/Setting: Power BI REST API – Automated report publishing and dataset refresh; schedule and distribute dashboards via Power BI Service.
 3.2. Tableau
  – Feature/Setting: Tableau Server REST API – Automate dashboard extraction, refreshes, and distribution using WORKBOOK/VIEW endpoints.
 3.3. Google Data Studio
  – Feature/Setting: Automated scheduled email delivery; automate data integration via Google Analytics and BigQuery connectors.
 3.4. Amazon QuickSight
  – Feature/Setting: QuickSight API – Automate dashboard publication, email sharing, and data set refreshes; schedule via AWS Lambda.
 3.5. Looker
  – Feature/Setting: Looker API – Automate look generation, dashboard scheduling, and email distribution via scheduled_plan_run commands.
 3.6. Grafana
  – Feature/Setting: Grafana HTTP API – Automate dashboard snapshot generation and distribution using POST /api/snapshots.
 3.7. Zoho Analytics
  – Feature/Setting: Zoho Analytics API – Automates report/dashboard publishing and automated email scheduling.
 3.8. Sisense
  – Feature/Setting: Sisense REST API – Automate widget/dashboards export and scheduled reporting to email recipients.
 3.9. Domo
  – Feature/Setting: Domo APIs – Automates data ingestion, dashboard updates, and automated alerts/email delivery.
 3.10. Qlik Sense
  – Feature/Setting: Qlik REST API – Automates app reload, dashboard generation, and PDF/email scheduling.
 3.11. Salesforce Einstein Analytics
  – Feature/Setting: Analytics REST API – Automates data refresh, dashboard update, and scheduled delivery.
 3.12. Smartsheet
  – Feature/Setting: Smartsheet API – Automates dashboard creation from plant logs and automates sharing via email.
 3.13. Redash
  – Feature/Setting: Scheduled queries and automated email reports using the Redash API.
 3.14. Klipfolio
  – Feature/Setting: Klipfolio API – Automates data fetch, dashboard refresh, and scheduled PDF/email report automation.
 3.15. Metabase
  – Feature/Setting: Metabase API – Automate dashboard card retrieval, PDF automation, and scheduled report emails.
 3.16. SAP Analytics Cloud
  – Feature/Setting: SAC API – Automate report refresh, dashboard publication, and scheduled email distribution.
 3.17. IBM Cognos Analytics
  – Feature/Setting: Cognos REST/SDK – Automate dashboard execution, automate distribution schedules, and email settings.
 3.18. Splunk
  – Feature/Setting: Scheduled reports and alerts via Splunk REST API – automate dashboard and alert distribution.
 3.19. Google Sheets
  – Feature/Setting: Google Sheets API – Automate population of sheet-based dashboards and schedule via Apps Script for distribution.
 3.20. Slack
  – Feature/Setting: Slack Incoming Webhooks API – Automatedly distribute dashboard snapshots or notifications directly to compliance/admin channels.

Benefits

 4.1. Automates performance data consolidation, visualization, and distribution, ensuring stakeholders receive timely insights.
 4.2. Reduces compliance risks by automating on-time reporting and proactive anomaly alerts.
 4.3. Decreases manual data handling errors, automating validation and real-time updates.
 4.4. Saves administrative overhead, automating routine reporting and supporting data-driven decision-making.
 4.5. Enables scalable, audit-ready automation for multi-plant enterprise reporting and compliance workflows.