Data & Analytics Platform
GIS + KPI dashboards with a data-quality spine.
What you get
- Data connectors with retry logic and monitoring (source → warehouse)
- KPI catalog with definitions, owners, refresh schedules, and SLAs
- Data quality pipeline: profiling, validation rules, alerts on critical failures
- GIS-enabled dashboards with zoom, filter, layer controls, and export
- Narrative report generator with automated summaries and anomaly detection
- Runbook: troubleshooting, scaling, adding KPIs, data refresh procedures
Outcomes
- Live KPI dashboards with GIS layers and drill-down capabilities
- Data quality pipeline with automated alerts on critical field failures
- Scheduled narrative reports with anomaly detection and trend analysis
- Measurable reduction in report prep time (typically 75%)
- Self-service analytics with governed data catalog
Proof points
- KPI catalog with owners, definitions, SLAs, and refresh schedules
- Data quality scorecard: pass rates, failure alerts, remediation time
- Dashboard usage metrics: active users, queries/day, p95 query latency
- Before/after report prep time analysis (manual vs automated)
- GIS layer performance: render time, zoom responsiveness, concurrent users
- Data pipeline SLA tracking: uptime %, late runs, failure recovery time