

Despite significant technology investment, the University’s data and analytics landscape was fragmented and under‑utilized. Over 200 disconnected systems, heavy manual reporting and inconsistent data governance, limited access to trusted insights. Analytics maturity varied across faculties, slowing decision‑making, impacting staff productivity and constraining improvements to student experience and strategic execution.
Synechron partnered with the University to define a practical enterprise data, AI and integration strategy grounded in evidence. Through stakeholder-led discovery, we designed a future-state data platform, simplified integration, embedded analytics capabilities, and established clear governance. A phased 24‑month roadmap delivered early value while building scalable foundations for long‑term transformation.
Despite significant technology investment, the University’s data and analytics landscape was fragmented and under‑utilized. Over 200 disconnected systems, heavy manual reporting and inconsistent data governance, limited access to trusted insights. Analytics maturity varied across faculties, slowing decision‑making, impacting staff productivity and constraining improvements to student experience and strategic execution.
Synechron partnered with the University to define a practical enterprise data, AI and integration strategy grounded in evidence. Through stakeholder-led discovery, we designed a future-state data platform, simplified integration, embedded analytics capabilities, and established clear governance. A phased 24‑month roadmap delivered early value while building scalable foundations for long‑term transformation.
Higher student attraction and retention.
Greater staff productivity with less manual data work.
Future‑ready data and AI foundation aligned to strategy.
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