PARAPHRASE: The balance between using data-driven approaches, such as predictive analytics, and maintaining a personalized, human-centered admissions process is still very crucial in today's higher education landscape. Predictive analytics can provide data-driven insights that enhance decision-making processes in admissions. By leveraging historical patterns, demographic data, and engagement metrics, admissions teams can identify the most promising candidates and target their outreach accordingly. This efficiency can potentially increase enrollment numbers and improve the overall quality of the student body. In conclusion, the use of predictive analytics in admissions is highly beneficial, but it is essential to strike a balance with the human-centered approach. This balance ensures that admissions processes remain inclusive, equitable, and responsive to the unique needs of prospective students. Data tools play a supportive role but should not overshadow the personal connections that are vital in nurturing student potential and fostering a welcoming community. Ultimately, both elements matter significantly in creating a successful admissions strategy.

In conclusion, the use of predictive analytics in admissions is highly beneficial, but it is essential to strike a balance with the human-centered approach. This balance ensures that admissions processes remain inclusive, equitable, and responsive to the unique needs of prospective students. Data tools play a supportive role but should not overshadow the personal connections that are vital in nurturing student potential and fostering a welcoming community. Ultimately, both elements matter significantly in creating a successful admissions strategy