- Automated data preparation
- Some basic form of feature engineering for classification models. This really quickens the model development process.
- Automated modelling, classification, or clustering are very useful as well.
Automated reporting data preparation: A lot of jobs, which were stuck in Excel due to huge numbers of rows, are now tackled pretty quickly.
I have been a user since 2010, when it was named Clementine, and worked with versions 15, 17, and 18.
This tool has a lot of bugs. The canvas gets crippled when you put on a lot of icons. You have to save, close, and open the stream from scratch.
When there is a change in regional settings, menus and so on don’t pop up, probably due to software developed with Java.
Server installation was too hard and ineffective. You need at least four to five concurrent users with huge data to benefit from a server, but the salespeople never tell you that and just try to oversell.
Really bad local support. It took a long time for support to install a server.