Purpose
1.2. Enable automated decision support via live dashboards tracking workflows, constituent requests, resource allocation, and administrative KPIs.
1.3. Automates the distribution of timely analytical insights to management for resource, staffing, and process optimization.
1.4. Ensure automated compliance monitoring by highlighting anomalies or overdue items in real time.
1.5. Automate report generation to streamline end-of-month and compliance submissions.
Trigger Conditions
2.2. Automatedly scheduled data pulls (e.g., hourly or daily) from municipal finance, HR, and permit systems.
2.3. Change in sensor or IoT data relevant to utilities, public works, or facilities.
2.4. User-initiated dashboard refresh or automated API trigger from external data sources.
2.5. Automated import when new emails or attachments are received in departmental mailboxes.
Platform Variants
• Feature/Setting: Streaming dataset API automates real-time data push from workflows.
3.2. Google Data Studio
• Feature/Setting: Automated BigQuery Data Connector for instant metric refresh.
3.3. Tableau
• Feature/Setting: Tableau Bridge automates live connections to on-premise databases.
3.4. Grafana
• Feature/Setting: Automate dashboard refresh via InfluxDB/Prometheus live feed API.
3.5. Zoho Analytics
• Feature/Setting: Automated Data Sync with municipal SQL/CSV sources.
3.6. Sisense
• Feature/Setting: Sisense REST API for automating dashboard widget updates.
3.7. Looker
• Feature/Setting: Looker API automates schedule of data model and dashboard refresh.
3.8. Amazon QuickSight
• Feature/Setting: Automate via QuickSight Data Ingestion API and SPICE refresh.
3.9. Domo
• Feature/Setting: Domo Workbench automator and Stream API for automated data updates.
3.10. Qlik Sense
• Feature/Setting: Qlik REST Connector for automated live data loads.
3.11. Redash
• Feature/Setting: Query API to automate live data queries from municipal databases.
3.12. Klipfolio
• Feature/Setting: Push API for automated submission of metrics.
3.13. ClicData
• Feature/Setting: Data Loader automates connection schedule for regular data pulls.
3.14. ReportGarden
• Feature/Setting: Automated Data Importer for linking municipal data sources.
3.15. Chartio
• Feature/Setting: Automated Data Pipeline for schedule-based metric updates.
3.16. Metabase
• Feature/Setting: Automated Alerts and Pulses for reporting changes in data.
3.17. Superset
• Feature/Setting: Automated SQL Lab jobs to update charts live.
3.18. Geckoboard
• Feature/Setting: Automated Datasets API to submit live administration data.
3.19. Mode Analytics
• Feature/Setting: Schedule Refresh for automating report and dashboard updates.
3.20. Smartsheet
• Feature/Setting: Live Data Connector with automation for KPI visualization.
3.21. SAP Analytics Cloud
• Feature/Setting: Automated Data Import via live connection to ERP feeds.
3.22. IBM Cognos Analytics
• Feature/Setting: Automated Job Scheduler for periodic dashboard refresh.
Benefits
4.2. Automates multi-source data aggregation, improving workflow efficiency.
4.3. Enables automated anomaly detection and issue escalation for faster action.
4.4. Automatedly generates up-to-date analytics, supporting evidence-driven decision-making.
4.5. Frees up administrative staff for higher-value activities by automating reporting workflows.
4.6. Automates compliance checks and facilitates transparent governance.
4.7. Allows automating the distribution of timely insights to relevant teams via automated notifications and scheduled dashboards.