IQVIA's Analytics for Patient Support Services: Transforming Scalability, Performance and Governance
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Analytics and BI |
Industry | Health and Life Sciences |
Technologies | AI/BI, Databricks SQL, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
This presentation will explore the transformation of IQVIA's decade-old patient support platform through the implementation of Databricks Data Intelligence Platform. Facing scalability challenges, performance bottlenecks and rising costs, the existing platform required significant redesign to handle growing data volumes and complex analytics. Key issues included static metrics limiting workflow optimization, fragmented data governance and heightened compliance and security demands. By partnering with Customertimes (a Databricks Partner) and adopting Databricks' centralized, scalable analytics solution with enhanced self-service capabilities, IQVIA achieved improved query performance, cost efficiency and robust governance, ensuring operational effectiveness and regulatory compliance in an increasingly complex environment.
Session Speakers
Sudha Ragothaman
/Director, Data and Analytics
IQVIA
Dmytro Kobryn
/Head of Data Practice
Customertimes