Being Intentional: AB Testing and Data Minimization - PEPR '24

Explore data minimization techniques for AB testing in this 19-minute conference talk from PEPR '24. Learn how to move beyond the 'big table' approach to customer data and discover methods for conducting statistical analyses without linking information to individual customer IDs. Understand how equivalence classes and task-level data storage can be utilized for common statistical tests in AB testing, including t-tests, ANOVA, and nested partial f-tests. Gain insights into making informed decisions about data collection and storage, weighing the trade-offs between different approaches to ensure privacy and efficiency in analytics and data science practices.