Local modeling limited output to 5 projects. Now, 2,000 users build their own models on a shared platform, scaling production 12x.
A logistics real estate firm operating in a fast-paced industry, where data science initially relied on a traditional warehouse setup and siloed development.
Data scientists built models on local machines using static extracts, requiring manual handoffs that often delayed deployment until insights became...
“Analysts can come in, they get seamless integrations with all of our data source systems. They can do EDA, build models, build web apps or dashboards. It's very powerful and it's enabled a lot of our users.”
Real estate investment trust specializing in logistics and industrial warehouses.
AI and machine learning platform for enterprise data science and analytics.
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