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DataRobot makes us use and understand models in real business easily
December 09, 2021

DataRobot makes us use and understand models in real business easily

Iván Pech Escalante | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Reseller

Overall Satisfaction with DataRobot

We solve different kinds of business problems in the financial and retail industries. We are very satisfied with DataRobot´s capabilities: data prep of large volume of data, model creation and evaluation and deployment and monitoring . We solve use cases like collection, risk, audit, scoring, demand prediction, next best offer, price optimizing. We help analysts and data scientists from large banks and retailers.
  • Data prep: cleaning large data, creation of data flows and automation
  • Model configuration and selection
  • Deployment and monitoring models
  • Documenting and explaining the "why" of the models so understanding and explaining to business is made easy.
  • Data Scientist facing customers DSFC. They are very good but I think there should be more or include start-up services to clients more accessible.
  • Integration of the different tools. DataRobot had acquired several companies and integrating them should not be noted.
  • Automatic data mining
  • More algorithms and facilities for anomaly detection.
  • Easy of use
  • Community and documentation
  • Support
  • A lot of use cases
  • We build a collection model, severals in fact, that gave of ROI of 400%
  • We created a recommendation model that grow sales in 100% in the first 2 months of implementation
Alteryx is like a baby, you can play nicely with it but when you want to baby to get serious, it remains child.
With Datarobot you can get from problem to production very, very fast.

TCRM is complicated to use, it is not for final users to create model or participate creating models. Also it is exclusively for salesforce. Takes a los more time to prepare data and create models. However the results in dashboards are awesome.

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

Alteryx, Tableau CRM (formerly Einstein Analytics), Tableau Desktop, Tableau Prep, Snowflake
Best suited: You need to get models in production fast and many of them. We have an experience where data scientists in a company spend more than two months cleaning and trying to create models. We created models and put them into production in less than a week. Less suited: Marketing scenarios where you need segmentation done automatically but made visible and controllable to data scientists and marketers.

DataRobot Feature Ratings

8.0
Connect to Multiple Data Sources
9
Extend Existing Data Sources
8
Automatic Data Format Detection
10
MDM Integration
5
7.5
Visualization
8
Interactive Data Analysis
7
9.3
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Data Encryption
7
Built-in Processors
10
9.5
Multiple Model Development Languages and Tools
8
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
9.0
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
8

DataRobot Support

As I am writing this report I am participating with Datarobot Engineers in an complex environment and we have their whole support. We are in Mexico and is not common to have this commitment from companies without expensive contract services. Installing is on premise and the client does not want us to take control and they, the client, is also limited because of internal IT regulations ,,, soo we are just doing magic and everybody is committed.
ProsCons
Quick Resolution
Good followup
Knowledgeable team
Problems get solved
Kept well informed
No escalation required
Immediate help available
Support understands my problem
Support cares about my success
Quick Initial Response
None
No. The normal support satisfy our initial needs also because premium support is expensive right now. As we put more use cases into production we are planning to buy premium support. We still do not have real time predictions, when we sum up more use cases and more people becomes users of prediction results we will be contracting premium support.
Right now. We are installing on prem.
Data Scientist Facing Customer are exceptionally well trained and enjoy solving problems for the client. We did have several interactions and all are 100% worthy.