Case Study: Brown-Forman achieves major data science efficiency gains with Posit Team

How Posit allowed us to harness our data science and gain massive efficiencies

Brown-Forman, the global spirits and wine company, needed a better way to handle repeated statistical requests, recurring reports, disconnected data sources, and increasingly complex financial modeling that was outgrowing Excel. The company worked with Posit and its Posit Connect, Posit Workbench, and Package Manager products to support data science, reporting, and analysis across research, development, and finance.

Posit helped Brown-Forman turn manual work into self-updating reports, Shiny apps, and reproducible R Markdown workflows, while also enabling scheduled modeling and easier deployment of proprietary functions as a company package. The result was major efficiency gains: dozens of hours saved every month, faster access to analyses for scientists and other employees, reduced dependence on statisticians, and replacement of expensive third-party SaaS contracts with custom internal tools.

Brown-Forman

Paul Ditterline

Manager of Data Science