64. Data Science in Pharma Companies - Talking with Jack Lampka, MSD | EN

Jack, Viktoria and Kai are discussing the link between data and
business impact and the perfect data science team to make that
happen. "With international experience along the data analytics
value chain (21 years in tech & 3 in pharma), I must say that
the link between data and business impact is missing at many
companies. Especially with the current hype around AI and data
science, there is a big gap between talk and action. Here is where
I come in. Having built analytics teams, designed data roadmaps,
defined data governance, and synthesized data, I enable companies
to turn data into business impact. I support executives with
data-driven decisions. I cultivate data mindset through data
literacy programs. And I accelerate AI adoption through customer
& product clustering, marketing investment optimization, sales
forecasting, and ROI simulation … all that while having fun. Having
fun, I also have as a speaker at analytics conferences." - Jack
Lampka, Head of Data Science, MSD Germany In this podcast episode,
you'll learn: Why we don't like buzzwords What is meant by Data
Village Setting up the perfect data science team Why the link
between data and business impact is so important Data Science
maturity levels internationally Whether Data Science should be
centralized or decentralized