Modern Industrial Data Architecture Strategies & Best Practices for Life Sciences 4.0
ABI Insight
Author: Ryan Martin, Senior Research Director, ABI Research
Abstract
Manufacturers in Life Sciences industries—including pharmaceuticals, biotechnology, and medical devices—face unique challenges during digital transformation. Significant impact on human life, a stringent regulatory environment, complex manufacturing supply chains, and high cost of failure leave little room for error.
To meet these challenges, Pharma 4.0 leaders are introducing a scalable, systems-focused data architecture approach referred to as Industrial DataOps.
This analyst report from ABI Research reveals the processes and technologies that life sciences manufacturers are using to achieve success on their Industrial DataOps maturity journey. The report includes real-world best practices from the field, including two case studies from industry leaders Alcon and Catalent. Discover how these companies were able to implement an architecture that orchestrates fully contextualized edge-to-cloud data from across the enterprise to achieve speed and scale.
Complete the form below to download the full report and learn more about:
ABI Insight
Author: Ryan Martin, Senior Research Director, ABI Research
Abstract
Manufacturers in Life Sciences industries—including pharmaceuticals, biotechnology, and medical devices—face unique challenges during digital transformation. Significant impact on human life, a stringent regulatory environment, complex manufacturing supply chains, and high cost of failure leave little room for error.
To meet these challenges, Pharma 4.0 leaders are introducing a scalable, systems-focused data architecture approach referred to as Industrial DataOps.
This analyst report from ABI Research reveals the processes and technologies that life sciences manufacturers are using to achieve success on their Industrial DataOps maturity journey. The report includes real-world best practices from the field, including two case studies from industry leaders Alcon and Catalent. Discover how these companies were able to implement an architecture that orchestrates fully contextualized edge-to-cloud data from across the enterprise to achieve speed and scale.
Complete the form below to download the full report and learn more about:
- What a systems-based approach to data management looks like in the Pharma 4.0 context
- The power of templatizing for scalability
- The value of sending only the right data to the cloud
