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Here are four ways it helps drive results: From Reactive to Proactive Support Traditional analytics in higher education often rely on static, scheduled outputs like mid-semester grades, providing only periodic snapshots of student performance. Adaptable analytics simplifies that process.
The Challenge: Confronted with plateaued student outcomes, change was needed to assess the complete student picture and have the right tools to support them holistically. Its 5,468 enrolled students come from a diverse population surrounding Broome County and extends throughout New York.
This analysis has helped leaders understand how registration timeframes affect working students, the impact of sending past-due accounts to collections, and the effect of drop policies on students by age or ethnic group. Administrators and leaders should collaborate with Institutional Research to schedule regular reviews.
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