Why a Successful Digital Transformation Demands a Flexible SCE
Many pharmaceutical companies are in the middle of a digital transformation that largely impacts the priorities and ways of working of their statistical programming and data science organizations. A significant aspect of these digital transformation strategies is designing and deploying a new, modern statistical computing environment (SCE) which enables R&D organizations to accelerate as well as make optimal use of their data.
This paper summarizes key learnings and best practices from the industry to:
- Break down the concept of digital transformation into specific deliverables and milestones.
- Discuss the six key challenges that digital transformation can have on research and development in pharmaceutical companies.
- Offer six best practices about how to overcome those challenges, gathered from highly successful teams.
- Share Domino's perspective on a modern approach to statistical computing and data science.
Domino for Statistical Computing and Data Science
Janssen: Leveraging Data Science to Improve the Trajectory of Human Health
Arthur D Little: Accelerating digital transformation