The Data Discovery for the Biotech Industry Series brings together Biopharmaceutical scientists and engineers to discover the data tools that are critical for business success. You'll learn how to accelerate development timelines, improve predictability and lower costs — all without having to write a single line of code.
![JMP data visualization illustration - city charts JMP data visualization illustration - city charts](https://www.jmp.com/en_ca/events/ondemand/pharma-and-biotech-sessions/design-of-experiments-for-biotech-pharma-manufacturing/_jcr_content/par/styledcontainer_e90c/par/styledcontainer_copy/image.img.png/1641842610780.png)
Data Discovery for the Biotech Industry
Design of Experiments for BioTech/Pharma Manufacturing
![Quality Tools for Process Improvement Methodologies Quality Tools for Process Improvement Methodologies](https://www.jmp.com/en_ca/events/ondemand/pharma-and-biotech-sessions/design-of-experiments-for-biotech-pharma-manufacturing/_jcr_content/par/styledcontainer_14a7/par/textimage_97d0/image.img.jpg/1650653311323.jpg)
In this on-demand webinar, Jordan Hiller explains what Design of Experiments (DOE) is, and how to use it to improve processes and products. A case study shows key concepts, including how to plan a designed experiment in JMP and interpret the results.
Learn how to:
- Visualize data and drill-down to gain insight quickly.
- Make statistical analysis more approachable for non-statisticians.
- Start simple and dig further using JMP’s guided structure.