The model building takes place behind the scenes, and does not require a data scientist to build a model.
What do you dislike?
Unable to clean data within the actual interface, so anytime cleaning on data has to be done it must be done with another tool.
Recommendations to others considering the product:
There are a lot of additional functions and complex settings that Compellon has that most people are not using, unless you are an actual data scientist. The team at Compellon is always willing to help and work on projects.
What problems are you solving with the product? What benefits have you realized?
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