While the world of R&D is moving towards digitalization, the unique challenges of analytical data management continue to cause difficulties.
In our 2022 Analytical data management survey we learned and confirmed that…
- Analytical data is diverse with multiple techniques, instrument vendors, and software
- It is stored and managed in many applications
- The majority still find it difficult to access and share
Analytical data is ingrained in numerous workflows. While a small minority are starting to apply it for data science applications, most struggle to provide easy digital access for its most common uses.
Join our panel of experts as they discuss the results of the survey; the challenges related to analytical data that cross organizations and industries; and lessons learned through their own experience.