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:

  1. Break down the concept of digital transformation into specific deliverables and milestones.
  2. Discuss the six key challenges that digital transformation can have on research and development in pharmaceutical companies.
  3. Offer six best practices about how to overcome those challenges, gathered from highly successful teams.
  4. Share Domino's perspective on a modern approach to statistical computing and data science.

Related Resources


Domino for Statistical Computing and Data Science


Janssen: Leveraging Data Science to Improve the Trajectory of Human Health


Arthur D Little: Accelerating digital transformation


Elsevier: Modernizing Healthcare Through Data Science and Digital Transformation