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Existing off-the-shelf analytics platform with $930,000 annual costs lacked scalability, flexibility, and integration capabilities. Previous attempts to implement Posit-based solutions using Ansible failed to meet enterprise-grade stability and scalability requirements. Tight deadline to replace before license renewal.
Global pharmaceutical company requiring scalable, GxP-compliant analytics infrastructure for R and Python workflows
Projected $930,000 annual cost reduction through proprietary software replacement. Enables cross-functional collaboration across five business units. Provides foundation for future statistical computing environments with 85% reduced AWS costs and improved system maintainability through modern DevOps practices.