Item: DataRobot
Rating: 8
Author: Tyler Hansen

Overall Satisfaction with DataRobot

Use Cases and Deployment Scope

Predict churn. Identify ideal customers and targeted customers for promotions.

Pros and Cons

Pros

Minimizes coding extensively (for the user).
Allows high levels of customization.
Deployments are well organized.

Cons

Model training could be faster.
Too many limitations, such as making changes to deployments (such as threshold).

Return on Investment

Less time spent on model creation.
Slightly improved accuracy.

Key Insights

Do you think DataRobot delivers good value for the price?

Not sure

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?

Yes

Would you buy DataRobot again?

Yes

Other Software Used

Navisite Productivity and Collaboration (Microsoft Office 365 and MDM)

Great for straightforward predictive analytic work, such as the quintessential business cases (e.g. churn prediction). Not so good for unsupervised stuff, such as clustering, and it is pretty hard to use to predict recommendations.

Comments

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DataRobot is pretty good, could be better.