Challenge
KPOIS was built on a monolithic architecture that limited flexibility, scalability and maintainability. Manual data entry created bottlenecks, spatial analysis tools were missing, the interface was static and integrating external data sources was cumbersome.
Solution
- Migration to microservices. KPOIS was moved to a modular, performance-oriented architecture built for automation.
- Standalone geospatial service. Visual buffer zone creation and interactive map views were added to support spatial decision-making.
- Automated data ingestion. Manual entry was replaced with FME workflows that enable seamless integration with external registers.
- Personalised dashboard. Context-aware tasks and data for each user, plus smart session and notification management.
- Schema partitioning. Data models were restructured for intelligent data processing and faster queries.
Results
- A future-proof, automated and user-centred environment for managing land use constraints.
- Faster and more accurate decisions for both end users and administrators.
- Manual data flows have largely been replaced by automated register integration.
- The platform is now ready to support AI-driven spatial analytics and predictive features.
Key takeawayPublic sector registers don’t have to stay monolithic – microservices combined with automated data flows turn a static register into a decision-support tool.