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.
Key Takeaways
- 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
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