INFORMATION TECHNOLOGY > DATA MANAGEMENT/ANALYTICS

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

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