Building a Self-Service Data Mesh on Azure and Databricks: 50% Faster Data Processing and 40% Cost Savings for a Global Biopharmaceutical Services Organization

Our client is a global organization providing contract research and commercial services to pharmaceutical and biotechnology firms, with a focus on the biopharmaceutical industry. KPI Partners designed and delivered a scalable, self-service data mesh on Azure and Databricks, unifying a fragmented data landscape, introducing a metadata-driven ingestion framework across more than 30 source systems, and strengthening data anonymization and governance, so business users could build their own data products with speed and confidence.

If your organization is working to unify multiple data platforms and give business teams true self-service, this story shows how a data mesh on Azure and Databricks can accelerate processing, reduce cost, and keep data secure and governed.