Item: DataRobot
Rating: 10
Author: Ronald Dietrich Failano

Overall Satisfaction with DataRobot

Use Cases and Deployment Scope

I use it for predictive analysis. It helps develop credit risk models to be used for various business operations s (i.e., Products, Credit, and Collections), such as cross-selling, credit limit selling, and collection strategy formulation. On the other hand, it helps perform credit risk analysis to formulate solutions and effective risk management strategies. Manpower can also be maintained while increasing productivity thanks to data robot's capabilities.

Pros and Cons

Pros

Shortlisting of Risk Factors
Model Building
Exploratory Data Analysis

Cons

To show the model performance of train dataset

Return on Investment

Increased productivity
more accurate forecasting

Alternatives Considered

N/A

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?

I wasn't involved with the implementation phase

Would you buy DataRobot again?

Yes

Likelihood to Recommend

DataRobot can be used for risk assessment, such as predicting the likelihood of loan default. It can handle both classification and regression tasks effectively. It relies on historical data for model training. If you have limited historical data or the data quality is poor, it may not be the best choice as it requires a sufficient amount of high-quality data for accurate model building.

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Risk Manager's Data Robot Assessment