Item: DataRobot
Rating: 9
Author: Cristina Alvarez

Overall Satisfaction with DataRobot

Use Cases and Deployment Scope

We use DataRobot to build data products such as predictive models that are helping the business to move the needle. We use them mainly to adapt consumer experience now that PMI has become a consumer-facing company (it was not the case before IQOS) This year we are starting a new way of engaging with the business to make them part of the full process.

Pros and Cons

Pros

Customer support
Customer scaling up

Cons

Give visibility on what other customers are doing in other industries

Return on Investment

Increase revenue
Increase quality of consumer experience
Time saving

Alternatives Considered

Dataiku DSS

We've just had an intro but DataRobot is much more specialized in predictive analytics. Dataiku seems for me a platform that aims to cover a little bit all the steps or processes of a D&A team and with this approach, you may be doing a trade-off in quality and power

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?

Yes

Did implementation of DataRobot go as expected?

Yes

Would you buy DataRobot again?

Yes

Other Software Used

Microsoft Power BI, Alteryx

Likelihood to Recommend

Datarobot is a super powerful and useful tool for all data science teams, especially for those teams which are not specialized but where all team members take care of data products from A to Z ( from data foundation to prescriptive analytics) as the tool is democratizing AI. It is very useful as well to gain time, you do not need to spend hours and hours coding as the platform does it for you already. During the training they are providing, you can experience on your own, that regardless of all the manipulation you can do to the models on your own, you will never beat the machine

Comments

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How to become a consumer centric company with the help of DataRobot