Configuring 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.

542% Three year ROI and under 6 month payback

In less than a year customers are ahead on their investment due to the speed at which data scientists can accelerate their work.

$30 million total economic impact over three years

With Domino, customers benefit from reduced infrastructure friction, improved data science efficiency, and more data science capacity.

Quickly deliver higher profits

Executives expect to see bottom-line revenue from data science. With Domino, customers get more higher-quality models into production faster, leading to incremental profit.