Delivering timely insights that drive better patient care

Integra LifeSciences' legacy IBM DataStage warehouse required 8-9 hours of nightly processing, so overseas decision-makers got supply-chain data a day late during the COVID-19 pandemic; VP Gurpreet Kaur said 'when you're making decisions about medical equipment that elevates the quality of life for patients, one day makes a huge difference.' With Wipro's help, Integra migrated to Azure Databricks (Bronze/Silver/Gold architecture, 500 data objects, 700 pipelines) over nine months, running old and new systems in parallel for three months. The migration cut end-to-end processing time 69% (16 hours to 5 hours), data-availability lag 52%, and warehouse loading time 60%, while VM footprint fell 46%, software costs 50%, and overall operating costs 45%. Kaur called the improvement 'kind of a fantasy for us when we started comparing performance to our legacy system.'

Databricks is a unified data-and-AI lakehouse platform, used across pharma R&D for everything from early prototyping to production model governance via Unity Catalog.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.