Get to know the challenges in working in a data-centric manner and adopting the DataOps mindset in a Pharmaceutical company like Leo Pharma. See how the intersection between methodology, internal requirements and tech on the market lead us to the solutions we are implementing.
- the main challenges in Pharma regarding data are that it is scattered, lacks
ownership and is hard to find
- the tech stack chosen needs to support users with skillsets that range from tech-
fluent to tech-savvy
- Cloud services and SaaS products do the heavy lifting, while in-house
automation scripts and reusable components serve as a facade