124 DataRobot Testimonials

"We’re delivering insights that empower business units to make decisions that improve results."

"DataRobot is not a solution provider. They are a partner. It’s very important. It means they were present prior to the contract, during the contract, and after the contract. That’s impressive."

"DataRobot had significantly reduced time spent on creating and tuning predictive models. I've been able to become far more productive and get models into service more quickly than ever before."

"DataRobot allows our IT developers to pick up supervised machine learning easily. It lowers the steep curve of machine learning and removes the complexity of the underlying models from the developers."

“We always keep ourselves up-to-date on the latest data science trends and options available, through talking to partners and performing technology scanning."

"When we start to seriously think about investing in a predictive analytics platform, ROI emerges as a key consideration. Ideally it would be an enterprise-level software – like DataRobot – that we can extend usage and scale for other purposes."

"We use DataRobot to make billions of predictions."

"DataRobot turns my three data scientists into a team of 20 data scientists."

"DataRobot gives you all the tools you need. It will democratize machine learning across the whole business."

"I had a team of analysts doing predictive analytics, but we were shoehorned into using generalized linear models (GLMs) and doing that manually. These projects would typically be very, very long — three to six months — and as soon as they’re finished, they’re pretty much out of date."

“My high-level vision of the architecture is that Snowflake is the hub.”

“What DataRobot allowed us to do was take our historical data in Snowflake and easily train, test, optimize, and deploy business learning models into our production environment to easily create business value.”

“I find DataRobot to be a great tool for accelerating the application of data science, and we should think about harnessing data science to improve our work. That leaves the organization to focus your resources on where you add value.”

"It was difficult to go from raw data to prediction insights that could be integrated into the business. It wasn’t until we became a centralized team, developed a comprehensive analytics strategy and sourced a standardized tool like DataRobot that we, as a data science function, began to deliver real value to our association and its members."

"Working with our customerfacing data scientist to ask questions around how to design use cases, how data needs to be structured, how to decide which model to use and how to deploy the model – that support really got us over the hump. We quickly made the decision that DataRobot would be the right solution for us."