Impacting Churn with Data by Caitlin Hudon Visit https://rstats.ai/nyr/ to learn more. Abstract: Data scientists are uniquely empowered to solve big business problems, and analyzing and understanding churn is one area which lends itself to impactful analysis. Using my recent work on churn as a case study, this talk will cover: -How to get buy-in for ""big business problem"" projects, and how to structure analysis projects such that you're adding and delivering value at multiple checkpoints -How to turn exploratory data analysis into useful deliverables -How to tackle subscription churn through holistic analysis and thoughtful, actionable recommendations Bio: Caitlin Hudon is Principal Data Scientist at OnlineMedEd, an adult learning company. She has over a decade of experience helping companies get value out of their data with data science in a variety of industries including higher education, non-profits, IoT, marketing, and start-ups. She is co-founder of R-Ladies Austin, a sometimes-blogger, and a frequent tweeter (@beeonaposy). Outside of data, she loves traveling, hiking, reading, and hanging out with her two-year-old daughter. Twitter: https://twitter.com/beeonaposy Presented at the 2021 New York R Conference (September 9, 2021)