Our customers always brag about the value of Domino. Now, a new Forrester study shows why. Get the Total Economic Impact™ study to see for yourself.
Get the studyConfiguring compute resources. Onboarding new data scientists. Building, validating, deploying, and monitoring new models. It’s complicated. And every piece of the MLOps lifecycle has a cost.
Forrester conducted an in-depth study to measure these costs against the value Domino’s enterprise customers realize for their business. Here’s a look at what they found.
Yes, Domino does that. Automated access to infrastructure and managed environments means data scientists can start building models right away.
Get the studyShared environments and tools make teams using Domino far more efficient, to the tune of $5 million in added value. More collaboration → model velocity acceleration.
Get the studyOnboard data scientists faster, speed up model validation and deployment, and reduce infrastructure costs. It all adds up to huge value in return.
Get the studyHere’s what real Domino users are saying, plus some added insight from a few...unexpected experts.
"Before Domino, it could take two to three weeks to understand and spin up infrastructure and then start the work. With Domino, that went from weeks to just a click of a button."
Director of Data Platforms and Privacy Pharmaceuticals
"If something new comes out, we should be able to take advantage of it, and Domino is fairly unopinionated about what you put in their containers."
Senior Director of Decision Sciences Software Services
"Our use of Domino has had a strong impact on revenues in the millions of dollars, tens of millions of dollars in fact."
Principal Consultant Financial Services
"Without Domino, every country would have invested in many various ways and set up its own local system for model hosting and model implementation, and I wouldn’t have been able to set up the global watchtower of what is done regarding data science worldwide."
Chief Analytics Officer Insurance
"If we hadn’t invested in Domino, first, I wouldn’t have been able to set up a team at all because you can't hire a high-skilled data scientist without providing them with the state of the art working environment."
Chief Analytics Officer Insurance
"We use predictive models and data science to better understand the needs of our farmer customers. This allows us to offer customized pricing options and enables new business models that share in their financial risk."
Cloud Analytics Lead Agriculture
The Total Economic Impact™ of the Domino Enterprise MLOps Platform is a commissioned study conducted by Forrester Consulting on behalf of Domino Data Lab in March 2021.
The Total Economic Impact™ of the Domino Enterprise MLOps Platform is a commissioned study conducted by Forrester Consulting on behalf of Domino Data Lab in March 2021.