What do you like best?
The graphical user interface is very intuitive and RapidMiner is very easy to start with.
It offers good and meaningful default values for beginners in every operator.
Since you are able to see what you are doing, it is quite easy for beginners to understand
the science behind.
The computation speed is really fine even on notebooks (when trying out to sketch a new process).
What do you dislike?
RapidStudio charts are looking a bit old fashioned and simple (compared to BI solutions such as PowerBI or Tableau).
Configuration of axes and labelling formats is not possible in the simple charting modes and the complex charts are not easy to configure.
Recommendations to others considering the product
You will be able to get data easily into RapidMiner as well as first useful results.
The RapidMiner Book is great and offers a good starting point for analysing with RapidMiner.
In combination with a other books (such as "Data Mining for the masses" from Matthew North as well as
"Predictive Analytics and Data Mining" from Deshpande and Kotu), soon you will know enough to help yourself and tackle every data problem.
I adore Ingos youtube channel and he has got talent explaining things easy.
That's a real valuable ressource for Data Scientists and students alike.
What business problems are you solving with the product? What benefits have you realized?
Since I am teaching, I am trying to cover everything from clustering, classification,
association rule mining and regression. Some of my students have used RapidMiner Studio for Text Mining purposes as well and where obtaining good results (within their thesis e.g.).