Risk Modeller's Assessment of DataRobot
September 20, 2023
Risk Modeller's Assessment of DataRobot
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with DataRobot
I am using datarobot to develop Application and Behavioural Credit Scorecards for the Bank. Develop credit risk models to be used for various business operations (i.e., Products, Credit, and Collections), such as cross-selling, credit limit selling, and collection strategy formulation. Develop credit risk models to elevate lending decision-making and enhance risk management at CIMB PH.
- Exploratory Data Analysis
- Shortlisting of Risk Factors
- Model Building/ Blueprint
- Show the model performance of train dataset
- Do not limit up to five features only when downloading predictions
- less time spent on building models
- increased productivity
- there are some limitations to consider when using datarobot like interpretability of model results
Automated Machine Learning (AutoML). It automates machine learning workflow which enable me to build effective predictive models quickly and efficiently.
Developing predictive models for credit risk assessment. DataRobot can help automate building credit scoring, identify fraudulent transactions, ultimately improving decision-making and reducing risks.
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