The most valuable features are the analytics and reporting.

1. Ease of use. Can get results quickly.
2. Intuitive understanding of different data types. Saves time and effort.
3. Descriptive statistics of my dataset. Serves as logical justification for the predictions.
4. Presents output in visual form (Predictive Power/Reliability, Key Contributors). Can quickly assess quality of model and gather insights at a glance.
5. Alerts regarding suspicious variables. Enables quick fixes to model.
6. Dataset modeling functionality. Can be used to quickly enrich the dataset using just a few clicks, as opposed to spending a lot of time considering the different enrichment possibilities and then spending the time to build the dataset accordingly.
7. Confusion Matrix. Good for setting the right threshold value.

Well, this is difficult for me to answer because that's more on the team side. But I think the features of the actual ability to forecast and pull trends and correlations have been really good.