Interactive maps, integrated data sources, and operational reporting.
Smart Geo Trace
Drove redevelopment of internal maps data visualization with interactive features, integrated several data sources, and improved the cost and effort of existing implementation flows.
STAR Documentation.
Situation
The organization needed more useful internal map-based visualization with richer interactive behavior and integration with several data sources to support operational use cases.
Task
- Redevelop the maps visualization experience.
- Integrate multiple backend data sources into a usable internal product.
- Improve implementation cost and preparation effort compared to older flows.
Action
- Reworked internal map visualization with interactive layers and better data integration.
- Connected multiple data sources to enrich map-based operational context.
- Improved the existing implementation flow to reduce preparation and cost burden.
Result
- Delivered a more useful internal map visualization system.
- Integrated multiple data sources into a more practical internal interface.
- Reduced preparation and cost for existing implementation patterns.
Results & Metrics
Visualization outcome
Redeveloped internal map UX
Data integration
Several data sources
Operational effect
Reduced preparation cost
Technical Decisions
Use map-focused integration rather than static reporting
The use case benefited from spatial understanding and operational context, which a purely tabular interface would not communicate effectively.
Keep the system integration-friendly
The product needed to pull from several data sources, so the backend had to remain flexible and easy to extend.
Architecture Diagram
ERD
API Documentation
Base path
/api/v1/geo
Auth
Internal authenticated access
Rate limit
Internal network policy
/layersFetch map layers and visualization-ready geo data.
Auth: Required
Rate limit: Controlled internally
/tracking/:id/historyReturn historical event and point data for interactive tracing.
Auth: Required
Rate limit: Controlled internally
Performance & Operational Notes
The project improved practicality and implementation overhead rather than publishing benchmark targets.
Focus
Interactive internal operations
Data model
Multi-source integration
Implementation outcome
Reduced preparation cost
Security Measures
- Internal-access-only API usage for sensitive operational data.
- Controlled integration boundaries between source systems and visualization output.
- Data aggregation approach to reduce direct exposure of raw source complexity.
Testing Strategy
Confidence came from validating aggregation correctness and interactive operational behavior.
Coverage / confidence
Portfolio-documented approach
- Data mapping verification across integrated sources.
- Visualization payload validation for internal consumers.
- Operational checks around interaction-heavy map features.
Deployment Strategy
The platform aligned with an internal environment built around service integration and map-facing delivery.
- Backend integration service for geo aggregation.
- Map-focused client delivery connected to internal authenticated APIs.
Challenges Faced
- Making internal visualization genuinely useful rather than decorative.
- Combining multiple data sources without creating a fragile integration layer.
- Reducing implementation effort while still improving functionality.
Lessons Learned
- Geo and map products depend heavily on backend integration quality.
- Interactive visualizations become much more useful when the data model is designed for operational questions.
- Internal products benefit from the same rigor as external-facing systems.
Related ADRs
adr-geo-aggregation • Accepted
ADR-005: Aggregate Multi-Source Data Before Visualization
Introduce an aggregation API layer so map-facing clients receive visualization-ready data.