Build and Deploy to Success
December 17, 2021

Build and Deploy to Success

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with DataRobot

Accelerating predictive model development through automated machine learning and providing a seamless and very user-friendly ability to deploy models instantaneously are the most important drivers of success we have gained from [the] use of DataRobot. We have a live prediction model that handles hundreds of predictions a day, with turnaround times of
  • Comparing [the] accuracy of predictions on the population sample between hundreds of different model types and permutations.
  • Variable reduction through impact scores for predicting the target variable.
  • Automated deployment and hosting of production models for live business predictions.
  • Simpler, more intuitive project sharing between users (e.g. notebook-type solutions)
  • Automated variable reduction
  • Integrated deployment options for production models.
  • 20% increase to internal IRR through mortality risk reduction by detecting non-disclosure of health conditions.
DataRobot has superior automated machine learning and model deployment capabilities compared to the competition

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

DataRobot is well-suited for exploratory analysis that requires [the] reduction [of] thousands of variables to a handful of most impactful for predicting the target. DataRobot excels at serving complex model building where accuracy trumps interpretability, as well as offering the ability to manually build more interpretable, less complex solutions.

DataRobot Feature Ratings

Connect to Multiple Data Sources
8
Extend Existing Data Sources
8
Automatic Data Format Detection
7
MDM Integration
8
Visualization
9
Interactive Data Analysis
8
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Data Encryption
9
Built-in Processors
10
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
8