Higher education institutions generate large volumes of academic, administrative, regulatory, and operational data. Without governance rules, teams often struggle with inconsistency, duplication, and delayed reporting. A well-defined data governance model clarifies data ownership, reporting formats, validation responsibility, and review frequency. This strengthens leadership visibility while also reducing friction during accreditation, ranking submissions, and internal planning cycles.