Case Study: Progressive Corporation achieves fast, low‑risk Hadoop experimentation and driver‑safety insights with Tableau Software

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Preview of the Progressive Corporation Case Study

Progressive Insurance Fast experimentation and low risk with Hadoop

Progressive Insurance, a major U.S. auto insurer, needed to analyze vast, varied datasets—from Excel and enterprise databases to Hortonworks Hadoop—to inform decisions across quotes, claims and driver behavior. Legacy tools made exploration slow and risky, limiting the data science team’s ability to rapidly test ideas and improve programs like Snapshot, which rewards safe driving.

By adopting Tableau for its native connectors and fast, visual analysis, Progressive can consolidate diverse sources, use subset sampling to explore big Hadoop datasets, and run rapid hypothesis tests. The result is much quicker, lower-risk experimentation, new insights that improve Snapshot scoring and other models, and analytic capabilities the company couldn’t achieve with its legacy toolset.


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Progressive Corporation

Brian Durkin

Innovation Strategist


Tableau Software

646 Case Studies