A repeatable core
A shared platform blueprint created consistency across deployments while leaving room for affiliate-specific requirements.
← Case studies A global data platform,
Global affiliate deployment
Servier · Pharmaceutical
A global data platform,
made locally useful.
Global affiliate deploymentWe helped Servier deploy a Data Platform as a Service solution across its affiliates around the world—combining a repeatable global foundation with the flexibility required for local data needs.
The mandate
Scale a common platform model across a distributed organization.
Global pharmaceutical organizations need consistency, but affiliates operate with different systems, priorities, and levels of data maturity. The platform therefore had to be reusable without becoming rigid.
The work focused on establishing a deployment model that could be rolled out repeatedly, governed consistently, and adapted to the needs of teams in each market.
Worldwide rollout
One foundation.
Many affiliates.
The platform approach connected global standards with local execution, enabling the solution to move from one deployment to the next without starting over.
The approach
Standardize what matters.
Adapt what creates value.
Local activation
Each affiliate could connect relevant sources and activate the data products needed by its own teams.
Governance by design
Access, quality, ownership, and operational controls were embedded in the platform model rather than added later.
Built to expand
The approach supported progressive rollout across countries, use cases, and data domains.
The outcome
A platform designed to travel.
Servier gained a repeatable Data Platform as a Service model that could be deployed across affiliates worldwide while addressing local needs.
The result was more than a technology stack: it was an approach for deploying, governing, and expanding a data capability across an international pharmaceutical organization.
Build on a proven model
Deploy a platform your organization can use.
Tell us about your footprint, priority use cases, existing systems, and cloud or on-premises requirements.
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