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Legacy Posit stack failed to meet updated GxP compliance requirements, posing regulatory risks. Inconsistent environments created technical debt, while lack of Kubernetes integration limited scalability. Data science teams lacked software development best practices, increasing support workload and operational inefficiencies.
Global pharmaceutical company requiring regulatory-compliant data science infrastructure
Eliminated regulatory risks through GxP compliance, reduced support workload by 40% via automation, and enabled 300% greater infrastructure scalability. Standardized environments improved operational efficiency while maintaining zero workflow disruption for data science teams.