The most valuable features are forecasting and reporting. We have used these features to produce predictive analytics reports for retail clients.

The most valuable feature is its flexibility and the ability to integrate with SAS. It is easy to integrate with open-source technologies like R or Python.

I like the drag and drop interface. We can select datasets using drag and drop, for example. 

We use the classification and regression functions for building models from emails.