Almost 40 leading analysts from financial services, marketing, R&D and the public sector gathered together in SAS' Manchester, UK, office to find out how you can build better statistical models, faster and easier. Sam Gardner, the global technical lead for JMP Pro, kicked off the seminar on 25 Sept. with
The last week of September is going to be manic for JMP in the UK because we’ve got two fantastic events going on. I am delighted to say that the UK JMP User Forum on 27 September will be hosting SAS co-founder and JMP inventor, John Sall. His keynote speech
Several of the clients of Predictum, our analytical solutions company, have asked us to help them to evaluate the predictive analytics capabilities of JMP Pro with their data and analytical challenges, and we've done so with excellent results. We’ve seen that the advanced modelling capabilities in JMP Pro give insights over
JMP has a great new position open: Product Manager for JMP Pro. What is this position? The Product Manager for JMP Pro is responsible for setting the direction and gathering requirements for JMP Pro as it fits into the JMP family of products. The JMP Pro Product Manager has solid
There are many ways of generating a model such as basic linear regression, decision trees, neural nets, and generalized linear models. JMP Pro can be a great tool for data miners, those who want to get more information out of their data and build more accurate predictive models. It incorporates
We are holding a seminar on how to build better statistical models on Thursday 10 May, and the number of people who have registered is unprecedented. More than 100 people are planning to attend from a vast array of analytical functions, including banking and insurance, R&D and manufacturing, marketing and
I am excited that JMP is going to the Society of Petroleum Engineers ATCE conference for the fourth time in five years. For the past 87 years, ATCE has been the leading technical conference in the Exploration and Production area of the oil and gas industry. JMP is so flexible
When working with users new to JMP, I find it helpful to have a simple process to guide statistical discovery. We statisticians could debate the process of statistical discovery for a long time, but I find the process presented in Figure 1 works for most situations. Assuming we have already
When building models to predict a binary outcome variable, such as respond or not respond, the proportion in the desired category (respond) may be low. For example, in direct mail campaigns the response rate is often 1% or lower. In such cases, a predictive model is likely to learn how
If you missed my live SAS TALKS webinar on June 23 titled Consider an Analytic Center of Excellence (and Other Ways to Create More Analytic Bandwidth), you can now watch it on demand. In addition, the slides I presented are now available to any who are interested in Analytic Centers