Reproducibility in research is a challenge, and it's one your data analytics team needs to address to ensure consistency. An inability to reproduce pharma market insights in the UK can call into question the reliability of the results. Such doubts could crumble the foundation of your pharma data analytics insights used in decision-making.
However, there are ways to improve reproducibility. This post will outline the challenges, how they impact data analysts and data scientists, and solutions.
What Is Reproducibility, and Why Is It So Hard to Deliver?
Reproducibility is the practice of obtaining consistent results using the same data and structure as the original study. The definition itself infers the difficulty. You have to...
Continue reading this post on the Open Data Blend Blog.