Higher Education

With over a decade of experience in higher education, we specialize in data analysis for educational institutions, helping them transform data into insights that enhance student outcomes, streamline operations, and inform decisions. Our approach includes utilizing predictive models, trends analysis, dashboards, and compliance reporting, all aimed at improving student success analytics.

• Enrollment and Demographics: Intake numbers, diversity, origins, and admission rates analyzed through data analysis for educational institutions. 
• Retention and Graduation: Persistence, dropout risks, time-to-degree, and cohort stats are crucial in understanding student success analytics. 
• Academic Performance: GPA, pass rates, outcomes, and test scores are assessed for effective predictive models. 
• Financials and Resources: Revenue, budgets, ratios, and facility use are monitored for resource optimization. 
• Engagement and Satisfaction: Surveys, participation, and mental health metrics are key for analyzing student experiences. 
• Predictive Analytics: Enrollment forecasts and attrition models leverage historical data and machine learning to enhance student success analytics.