Increasing regulatory pressure across multiple jurisdictions, fragmented legacy systems creating data silos, and an urgent need for near real-time insights to remain competitive. Manual reporting processes were taking weeks, compliance was becoming increasingly difficult, and the organisation was missing critical business opportunities due to delayed decision-making. The goal was to design and build a cloud-native, multi-geo data platform capable of ingesting and transforming vast amounts of operational and customer data, securely, scalably, and cost-effectively, while ensuring compliance across all operating regions.
A regional healthcare network serving 2.3 million patients was struggling with resource allocation, patient flow management, and early intervention capabilities. Rising patient volumes, staff shortages, and pressure to improve outcomes while reducing costs created an urgent need for intelligent healthcare analytics. The organisation needed a comprehensive AI platform that could predict patient deterioration, optimise resource allocation, and improve clinical decision-making while ensuring strict patient privacy and regulatory compliance.