Item: DataRobot
Rating: 9
Author: Suradech Kongkiatpaiboon

Use Cases and Deployment Scope

I normally use it for preliminary model checking in order to get an idea to estimate the accuracy or error. This step normally consumes a significant amount of time; nonetheless, it can be determined whether to proceed to the next step of the project or not. My business use cases involve process optimization, anomaly detection, and mainly time series prediction.

Pros and Cons

Model screening
Preliminary assessment of general accuracy or error that a typical model can provide
Training is superb especially from DataRobot University

I found that model deployment is a bit difficult for non-IT background like myself
EDA may be improved
Should show estimated time to complete for each run

Return on Investment

Saving engineering man-hour
Increase production efficiency
Better forecasting of critical operating data

Comprehensive Platform

I haven't used this feature.

AI Solutions

Alternatives Considered

Key Insights

Do you think DataRobot delivers good value for the price?

Yes

Are you happy with DataRobot's feature set?

Yes

Did DataRobot live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of DataRobot go as expected?

I wasn't involved with the implementation phase

Would you buy DataRobot again?

Yes

Other Software Used

Seeq

Likelihood to Recommend

In my opinion, DataRobot is well suited when you have completed preparing the data into a relational format. The model screening and estimated ideas on the ranges of accuracy or errors. For beginners or intermediate users, DataRobot University is also excellent. On the other side, I found it less appropriate for any data cleaning or EDA task.

Review of DataRobot from a non-IT person

Overall Satisfaction with DataRobot