Healthcare and clinical research
International clinical research laboratory
Response
A centralised clinical platform on Azure, with an AI predictive analytics capability.
Trials accelerated
by an AI that prioritises the critical signals
Challenge
Building a highly secure data platform on Azure, bringing together clinical trial data from across the world.
The engagement
02.1
Audit and assessment
A strategic review of the existing platforms to clarify costs, capability gaps and priority improvements, and to lay a secure, scalable Azure foundation.
02.2
FinOps maturity and governance
A single, consolidated view of cloud spend, which improves cost transparency and makes budgets enforceable: spend becomes predictable and controllable.
02.3
AI predictive analytics
Azure Databricks to unify data processing and Machine Learning, and to produce predictive analytics on clinical operations.
Impact
- Trial operations accelerated by an AI that prioritises the critical signals
- Cost transparency by study and by supplier, with budget control that reduces rework and prevents overruns
- Significantly reduced study timelines