Case Study: a global pharmaceutical company achieves 80% lower platform management resources with Altimetrik's predictive finance modernization

a global pharmaceutical giant reduces predictive finance resources by 80% with Altimetrik

The finance team of a global pharmaceutical giant faced significant operational and technical challenges with its legacy predictive finance platform. To overcome issues like escalating costs and high maintenance, they partnered with Altimetrik to modernize their capabilities using the GAIA platform on a new data infrastructure.

Altimetrik's solution involved co-creating a modern, cloud-native architecture that transformed the legacy system from R to Python. This included integrating MLOps with a CI/CD pipeline and utilizing AWS-SageMaker and Snowflake. The new system achieved an 80% reduction in resources required for management, a 60% improvement in time-to-deliver, and ensured the platform was 100% compliant with security standards.