Enhance consistency in your research: boost your experimentation techniques

In the realm of scientific discovery, data-driven experimentation practices are increasingly becoming the norm. This month, JMP, a part of SAS, is hosting a webinar titled "Building Robust Process Understanding" to introduce these practices and help researchers develop processes predictably and meet key project milestones.

The webinar is being hosted by Hadley Myers, a Systems engineer at JMP. Myers brings over a decade of combined research and manufacturing experience in photovoltaics to the table, having previously worked at Smit Thermal Solutions and HelioVolt, and served on the technical advisory board of OnPeak Power.

JMP, known for bringing interactive data visualization and analysis to the desktop, is the sponsor of this insightful event. The company has been a part of SAS since the first version of JMP statistical discovery software was launched in 1989. SAS, the leader in business analytics software and services, and the largest independent vendor in the business intelligence market, has been giving customers around the world the power to know since 1976.

The webinar will feature a case study, demonstrating how Novomer's experimentation strategy was transformed using state-of-the-art statistical methods. This transformation ultimately led to a successful acquisition, showcasing the power of data-driven experimentation in streamlining R&D processes.

Ben Valsler, the digital editor of our website magazine, will also be a part of the event. Valsler, who previously produced the award-winning Naked Scientists, will be producing video and podcasts to accompany the webinar.

The webinar is not the only event sponsored by JMP. Other topics include "Lost in space, found in data: real-world scientific exploration and discovery", "Building organisational consensus around the tools of digital chemistry", and "Speed up process development by making more from your offline and online data".

Through innovative solutions, SAS helps customers at more than 60,000 sites improve performance and deliver value by making better decisions faster. If you're interested in learning more about data-driven experimentation practices, be sure to join the "Building Robust Process Understanding" webinar.