I suggest adding a piece wise linear regression tool to the predictive tool set. Many times, modelers in the insurance business (and others) like to play around with the model, i.e. placing knots/splines at multiple intervals then after seeing the results, changing where those knots are placed. This gives the best fit based not only on mathematical technical knowledge but also domain/tribal knowledge, especially when training data sets are small.
Currently, we have to try and develop our own model matched with a macro which changes the r-code. To date, there has been no luck, but maybe the Alteryx excellent customer support would get the developers to do this for us and then...........we could finally bury SAS in the ground.