Based on the aspects of strategic foresight, database design, data governance, data quality and information systems success literature, this study investigates the influence of future orientation on designing computerized databases. This paper introduces the Foresight-Driven Database Building Model (FDDBM), a design-science based model that seamlessly combines horizon scanning, scenario planning, anticipatory requirements engineering, governance mechanisms, metadata modeling, and environment monitoring within the database lifecycle. The paper includes theoretical figures, a quantitative model evaluation matrix, correlation and regression analyses, as well as comparisons of maturity and integrated debates of finding. It is shown that future-thinking ability is significantly correlated with database future readiness, data governance maturity, architecture flexibility, and data quality, and negatively correlated with rework effort and requirements volatility post-deployment. The paper presents a conceptual model, a practical framework, a database-design instantiation, a measurement instrument, and practice implications for the design of future-oriented electronic databases.
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