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

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.
Pros
- 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.
Cons
- 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
DataRobot Feature Ratings
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
Comments
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