Analyst insight: Data architecture strategies and best practices for life sciences 4.0

Ready to improve data accessibility and product quality? Start by understanding data architecture strategies specifically for life sciences manufacturers. View examples from Alcon and Catalent, who are operating successful implementations.
The Industrial DataOps maturity journey focuses on delivering manufacturing data for business use cases and underpins Life Sciences 4.0. It begins with extracting raw data out of assets and OT systems and culminates into an architecture that orchestrates fully contextualized manufacturing and lab data across the enterprise. Download this analyst insight to learn:
  • What a systems-based approach to data management looks like
  • The power of templatizing for scalability
  • The value of sending only the right data to the cloud

Please Fill Out this Form to Download Your Content Item

We want to stay in touch, but only in ways that you find helpful. By requesting this service, Endeavor Business Media will send you industry leading news, events, magazines, e-newsletters, research and other communication about events and promotions from our brands, affiliates and partners related to your interests consistent with Endeavor’s Privacy Policy You can unsubscribe from our communications at any time by emailing

This content is sponsored by:

Copyright © 2023 Content Lead, All Rights Reserved.