Case Study: a Fortune 100 healthcare company achieves 95% faster reporting and $1M+ annual savings with Impetus and Databricks

Fortune 100 Healthcare Company enables 95% faster reporting and $1 Mn+ savings with Impetus

A Fortune 100 healthcare company faced operational risks in its pharmaceutical cold chain due to a legacy, batch-based data platform that prevented real-time monitoring and predictive insights. To transition to a proactive model, the company partnered with vendor Impetus to modernize its architecture using the Databricks Lakehouse platform.

Impetus implemented a streaming-first data platform on Databricks, replacing legacy batch ETL with real-time pipelines for IoT sensor telemetry and creating a unified AI-ready data foundation. This solution enabled predictive analytics for temperature excursions. The results included $1 million+ in annual savings from reduced product loss, 95% faster reporting, and centralized proactive monitoring across 30+ distribution centers.