Modern Industrial Data Architecture Strategies & Best Practices For Life Sciences 4.0

By Ryan Martin

Life sciences manufacturers face unique challenges with little room for error, as the complex manufacturing environment involves products that significantly impact human life, strict regulations, and a high cost of failure. Ever-changing customer demand and the rapid pace of new product introductions necessitate modern manufacturing production tools and techniques. While digital transformation projects can be the solution, the underlying data architecture strategies must evolve in lockstep.

To address these challenges, Pharma 4.0 leaders are introducing a scalable and systems-focused data management approach referred to as Industrial DataOps. This analyst report from ABI Research uncovers the processes and technologies being utilized by life sciences manufacturers to achieve success on their journey to Industrial DataOps maturity. Explore real-world best practices from the field, including two case studies from industry leaders Alcon and Catalent. Discover how these companies successfully implemented an architecture that orchestrates fully contextualized edge-to-cloud data across the enterprise to achieve speed and scale.

© 2023 ABI Research. Used by permission.