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Dashboard visualization of key safety metrics

Purpose

1. Automate the collection, aggregation, analysis, and visualization of critical safety metrics (e.g., incident type, response times, call resolutions) from emergency call shelters and communication systems.

2. Enable real-time, automated decision support for government officials responsible for public safety oversight in the Emergency Communications sector.

3. Automates proactive trend detection, automated alerting of anomalies, and automatedly informs resource allocation and emergency response strategies.


Trigger Conditions

1. Automatedly triggered upon new incident log creation in emergency booth databases.

2. Automation triggers when raw data entries update (CSV import, direct sensor/AP feed, dashboard API call).

3. Automated scheduled triggers (hourly/daily/weekly) for updating dashboards based on latest data sync.


Platform Variants

1. Microsoft Power BI

 • Feature/Setting: Automate dataset refresh using Power BI REST API; configure "Refresh Now" on dataset.

2. Tableau

 • Feature/Setting: Automation with Tableau Prep Conductor; schedule "flow runs" for data ingestion and dashboard updates.

3. Google Data Studio

 • Feature/Setting: Automated connector setup (BigQuery, Sheets); schedule data source refresh.

4. Grafana

 • Feature/Setting: Automate with data source plugin API; configure alert rules for automated notifications.

5. Amazon QuickSight

 • Feature/Setting: Automate sync with AWS Lambda triggers, QuickSight API refresh.

6. Looker

 • Feature/Setting: Automate LookML dashboard updates via Looker API; schedule "looks" refresh.

7. Domo

 • Feature/Setting: Automate data ingestion using Domo Workbench, API scheduler setup.

8. Sisense

 • Feature/Setting: Automate ElastiCube refresh via REST API and schedule dashboard rebuilds.

9. Qlik Sense

 • Feature/Setting: Automate app reload schedules and alerts via QMC automation.

10. Zoho Analytics

 • Feature/Setting: Automation via data sync scheduler/API, schedule alert triggers.

11. Klipfolio

 • Feature/Setting: Automate push data via Klipfolio API and enable scheduled refresh.

12. Cyfe

 • Feature/Setting: Automate dashboard widgets update with Cyfe push API.

13. Redash

 • Feature/Setting: Automate query scheduling; API-based data source triggers.

14. Metabase

 • Feature/Setting: Automate question/collection updates with Metabase API scheduler.

15. Geckoboard

 • Feature/Setting: Automate using Geckoboard Push API, widget refresh automation.

16. Mode Analytics

 • Feature/Setting: Automate report refresh with Mode API, schedule recurring jobs.

17. Chartio

 • Feature/Setting: Automate data sync via Chartio Data Sync; configure Slack alert automation.

18. IBM Cognos Analytics

 • Feature/Setting: Automated report scheduling via Cognos jobs and automation scripts.

19. SAP Analytics Cloud

 • Feature/Setting: Automate data refresh scheduling and API event triggers.

20. Oracle Analytics Cloud

 • Feature/Setting: Automate pipeline refresh via REST API and schedule dashboard push.

21. Databox

 • Feature/Setting: Automate source synchronization, schedule snapshot via API.

Benefits

1. Automated monitoring improves incident response decisions and resource allocation.

2. Automates repetitive reporting tasks, saving substantial administrative time.

3. Ensures data-led accountability and transparency for government operations.

4. Automated anomaly detection enables automatedly proactive issue resolution.

5. Automating dashboards delivers always-current, actionable insights for public safety.

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