Enhance your testing processes and strive for predictability in your results

In a bid to promote data-driven experimentation and foster better understanding of modern processes, JMP, a subsidiary of SAS since 1989, is hosting a webinar. This event, sponsored by JMP, aims to inspire organisations to embrace modern experimentation and teach attendees how to streamline their work and achieve more reproducible results.

The webinar, moderated by Benjamin Valsler, digital editor of our website magazine, will feature Malcolm Moore, European technical manager at JMP, an expert in design of experiments. Malcolm brings a wealth of experience to the table, having worked at Light Pharma, BBN, Astra Zeneca, and lectured in medical statistics at Newcastle University before joining JMP.

One of the highlights of the webinar will be a case study demonstrating how Novomer transformed their experimentation strategy using state-of-the-art statistical methods. This transformation led to a successful acquisition, showcasing the potential benefits of adopting modern experimentation practices.

Another notable example of the success of such practices is Toyota, which changed its experimentation strategy by applying modern statistical methods (Design of Experiments, DoE) and ultimately became successful through this change.

SAS, the leader in business analytics software and services, has been instrumental in helping customers at more than 60,000 sites improve performance and deliver value. As the largest independent vendor in the business intelligence market, SAS is committed to driving innovation and helping organisations make informed decisions.

The webinar will introduce data-driven experimentation practices to develop processes predictably and meet key project milestones. However, it does not provide specific details about the methods used in the data-driven experimentation practices.

Registration for the webinar requires submitting personal information to JMP for access and marketing purposes. Participants can update or remove their information or withdraw consent from JMP directly. The webinar does not specify the nature of the products or processes that the data-driven experimentation practices are intended for.

The webinar aims to motivate organisations to try modern experimentation and increase their product or process understanding through these methods. By attending, participants will gain valuable insights and practical advice on how to get started with methods that can yield more reproducible results and streamline their work.