A retail analytics team is starting a new project to predict which products will sell out during seasonal promotions. They have identified the business goal and success metrics. Their next step is to gather three years of point-of-sale records, promotion calendars, and inventory logs from different databases, then clean inconsistent formats and handle missing values before any modeling begins. Which phase of the ML development lifecycle does this work primarily represent?