• English

As organizations increasingly move towards digitalized environments for carrying out their R&D processes, research teams are gaining access to increasingly large volumes of data to support their decision-making.

However, this presents a double-edged sword, as legacy informatics infrastructures were not designed to handle the volumes of data nor the analyses modern R&D requires to remain competitive in today’s market. As a result, many individuals are becoming “citizen” data scientists, repurposing their skills and roles to develop custom solutions to support their business.

Optimizing these initiatives will require not only buy-in from management, they must also support the wide range of tools their users depend on, from low-code/no-code data pipelining tools through deep programming environments like Python and R.

Centralizing these processes within a common and flexible data science framework can help these grassroots initiatives become powerful drives towards overall organizational success.

This webinar will cover what such a framework looks like, the benefits of a flexible low-code/no-code environment, and provide real-world use cases demonstrating the power a supported citizen data science initiative can provide.


Who Should Attend?

  • Lab Managers
  • Lab Staff (Scientists, MTA, TA, …)
  • Director/Managers of Product R&D
  • Director/Managers of R&D IT
  • Director/Managers of Informatics or -omics Driven Groups (i.e. Bioinformatics, Cheminformatics, etc.)
  • Director/Managers of Data Science teams
  • Citizen Data Scientists


Discover more information about BIOVIA.

Presented by
Niclas Lindberg
Niclas Lindberg
Sales Executive
Alex Orona
Alex Orona
Product Manager, BIOVIA, Dassault Systèmes
Sean McGee
Sean McGee
Technical Marketing Manager, BIOVIA, Dassault Systèmes
Access the webinar