
SAS Visual Statistics is a powerful tool for exploring data and creating predictive models in the retail industry. I run predictive models on different user slices and multiple experiments with retail user data. I like the k-means clustering visual graphics. Without writing lengthy codes, I can generate model AUC comparison reports and charts from the user interface. Sharing models with team members is very convenient. Review collected by and hosted on G2.com.
SAS is not an open-source platform, and I sometimes face challenges reconciling model scores. The calculations and methods used in the backend are not exposed to users, which can be a bit annoying. Review collected by and hosted on G2.com.