Turn operational history into better operating decisions.
See current activity, study demand and performance, export evidence, and build validated metrics from the same operational data used by dispatch and field teams.
Know what is happening—and what keeps happening.
The platform combines database-backed dashboards with scheduled analytical processing for operational insight.
Operational dashboard
Review database-backed statistics, active performance measures, resource locations, and incident heatmap data.
Trend & hotspot APIs
Analyze incident patterns over time and space using supported trend and hotspot endpoints.
Performance export
Generate real CSV exports containing current metrics and summary rows for further review.
Analytical store
Use scheduled PostgreSQL-to-DuckDB ETL for read-oriented analytical workloads.
ETA model pathway
Train and evaluate p50/p90 ETA quantile models with a clearly labelled heuristic fallback.
Audit evidence
Query durable audit events and security metrics rather than relying on invented scan or activity data.
Define the measure before drawing the chart.
Each deployment should agree the operational clock, exclusions, data quality, ownership, refresh, and decision tied to every KPI.
No universal savings claim. Your data proves the outcome.
A pilot records baseline and target measures for the specific operation. That is how response, utilization, workload, or coordination benefits become defensible.
- Document metric definitions
- Measure data completeness
- Separate correlation from causation
- Compare like-for-like operating periods
- Publish limitations with results
Useful measures
- Time to assignment
- Status-update completion
- Location availability
- Integration success
- Offline recovery
- User task time and satisfaction
Bring the decisions you need to make—not just a list of charts.
We will map source data, metric definitions, refresh, ownership, and the operational action tied to each measure.