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Cambodia Airports AI-Ready Modern Data Platform: From Data to Decisions
- Practice
- Team
1 Solution Architect
1 Project Manager
3 Analytics Developers
- Technical environment
Cambodia Airports needed to accelerate its digital transformation and shift from fragmented reporting to a more centralized, data-driven approach. Although large volumes of operational and cargo data were available, they remained fragmented and difficult to leverage consistently for decision‑making.
Key challenges included:
- Fragmented data sources limiting end‑to‑end operational visibility.
- Manual and reactive processes unable to easily anticipate congestion or resource needs.
- Growing operational complexity requiring more timely, reliable insights.
- The need for a modern, scalable data foundation to support future analytics and AI use cases.
A Unified Data Platform
A consolidated architecture integrating operational AODB (Airport Operational Database) and Cargo Management System (CMS) structured data into a single, trusted source of truth.
Near Real-time Operational Visibility
Capabilities to support proactive decisions — for instance monitoring check-in utilization and enabling teams to open additional counters when utilization rises.
The SBI–Cambodia Airports collaboration delivered significant operational and strategic outcomes:
- Data‑driven operations improving planning, scheduling, and process optimization.
- Enhanced passenger experience through more proactive management.
- Increased operational efficiency via automation and reduced manual interventions.
- Future‑ready infrastructure designed for scaling AI use cases across all airport functions.
"Data was always there; the question was how to turn it into insight and action", said Cambodia Airports CTO Sébastien Lacoin.
