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Analyst's take on DataRobot as an analytical accelerator
December 21, 2021

Analyst's take on DataRobot as an analytical accelerator

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

Overall Satisfaction with DataRobot

I am one of several analysts at our organization who uses DataRobot for predictive modeling in an insurance context. Several of us are all working on models that are subsets of a large data set that we are hoping to use to help with future pricing efforts.
  • The breadth of models available to use is helpful and allows much more analytical power than programming them all yourself.
  • The built-in variable diagnostics are helpful when testing large variable sets to see which perform the best.
  • Many of the adjustments on the models are easy to use/it's easy to re-run and kick off new models as you want to try new things.
  • Make it easier to add one feature to a feature list. select all, go to the overall data tab, then select the new ones and create a new list. Something like [adding] one variable or a selected set with an existing list and [creating] a new one.
  • Easier access to project specs like target/offsets/etc. from the data tab
  • switch to toggle on and off generation of feature impacts/effects when you start new models.
  • Ability to enable accelerate analytical capability of the organization by allowing analysts who aren't able to model from scratch still produce high-quality predictive models with data robot.
  • Ability to rapidly test large numbers of variables in models efficiently to figure out which works best.
  • The connectivity and API's to other data sources/etc. integrate well once set up
  • Without much exposure to the software, we were able to turn around and produce a model capable of helping make business decisions in ~2 weeks. That likely would have taken months had it needed to be created manually.
  • It significantly helped our team be able to split out a large-scale modeling project and allow several analysts and data scientists to work simultaneously and with some help of integration to AWS/etc. was able to work well to spread out the modeling burden but allow it all to be combined back together fairly easily.

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

It is well suited for analysts like myself who are familiar with predictive modeling and understand some of the behind-the-scenes aspects but aren't to the point where they could program a predictive model by themselves from scratch. I think I've had the most success with it as an analytical accelerator. If you have no modeling experience or aren't familiar with some of the concepts, it will still work, but it could be a bit overwhelming/you might lack the knowledge to make intelligent business decisions with the results. On the opposite end, it can definitely help seasoned modelers who are able to do things from scratch themselves, but it can provide a hindrance if there are specific tweaks you want to make that aren't available in data robots or are two hard to decipher from the back end.

DataRobot Feature Ratings

8.0
Connect to Multiple Data Sources
8
Extend Existing Data Sources
9
Automatic Data Format Detection
7
MDM Integration
Not Rated
8.0
Visualization
8
Interactive Data Analysis
8
8.0
Interactive Data Cleaning and Enrichment
Not Rated
Data Transformations
Not Rated
Data Encryption
Not Rated
Built-in Processors
8
8.0
Multiple Model Development Languages and Tools
8
Automated Machine Learning
8
Single platform for multiple model development
8
Self-Service Model Delivery
8
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated

Using DataRobot

10 - They are all connected to the analytics department. Some of our data and infrastructure folks were involved in the set-up and connectivity, but most of those using DataRobot were data scientists, actuaries, or data analysts.
  • Analytical accelerator
  • It worked as intended by allowing several people to work on a large scale predictive modeling project simulatenously.
  • More data cleaning and processing in data robot itself vs elsewhere
If it was up to me, I would renew because it allows me to do a lot more predictive modeling than I am able to do from scratch/without learning additional things.