This article explores how to anticipate and design data platforms that remain relevant over time. It introduces a framework for projecting data needs based on consumer behavior, inquiry modes, and decision-making tiers, emphasizing the importance of leaving gaps for future requirements. It also discusses the role of data products in adapting to changing business environments.