At a fintech lender, a analytics lead is working on a data science foundations task. The dataset includes a small set of late-arriving records from a partner system. A data science team is using CRISP-DM for a fraud project. During modeling, they discover chargeback labels arrive 45 days after transactions, while the business wants a 7-day intervention. What should happen next? Focus area: analytical success criteria. The team has a two-week sprint and must justify the decision in a written project artifact.
