Case Study: U.S. Venture, Inc. achieves 95–97% time savings and analyst upskilling with Dataiku

Upskilling Analysts to Save Thousands of Hours

U.S. Venture, Inc., a diversified energy and transportation company with 2,500+ employees, faced fragmented analytics and slow, manual processes: analysts and data scientists used different tools (R, Python, SQL), saved code locally, and spent excessive time on data collection, prep, and modeling. To standardize workflows, improve governance, and scale analytics, they adopted Dataiku as their enterprise data science platform.

Using Dataiku, U.S. Venture, Inc. consolidated disparate code into reusable recipes, automated end-to-end flows, and created project visibility and collaboration. The result: market modeling that once took 60–100 hours now completes in about 3 hours (roughly 95–97% time savings), reduced spend on niche point solutions, faster decision-making, and broad upskilling of analysts so data scientists can focus on higher‑value work.

U.S. Venture, Inc.

Brian Taylor

Manager of the Data and Analytics team