University of Dayton Uses Alteryx and Tableau to Drive Enrollment and Student Success
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Alteryx
- Tableau
Tech Stack
- Data Analytics
- Data Visualization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Analytics & Modeling - Data-as-a-Service
Applicable Industries
- Education
Applicable Functions
- Human Resources
- Business Operation
Services
- Data Science Services
About The Customer
The University of Dayton is a Catholic research university and the largest private university in Ohio, offering more than 80 academic programs in arts and sciences, business administration, education and health sciences, engineering, and law. With 11,000 students and a 14 to 1 student-to-faculty ratio, admission to the University of Dayton has grown more selective in the past few years, with a 57 percent applicant acceptance rate. More than half of the undergraduate enrollment comes from outside the state, and international students make up more than 10 percent of the total enrollment.
The Challenge
The University of Dayton needed to quickly process thousands of pieces of student data from different systems across the university, enabling it to recruit, enroll, and retain the students most likely to succeed at the institution. Rising costs and increasing government involvement in higher education are bringing a greater focus on student outcomes. At the same time, data is available from an increasing variety of sources and departments—internal and external, structured and unstructured. University of Dayton is leveraging publicly available census data, high school academic records, college entrance exams, student activity and transcript data, and postgraduation information.
The Solution
Using Alteryx and Tableau, the University of Dayton was able to quickly blend and analyze data to deliver strategic insights about student behaviors and outcomes, optimize the admissions and enrollment process, and improve retention. With Tableau already in use for data visualization, Reinoehl and his team found Alteryx as a solution to their biggest problems—accessing, collecting, and blending a wide range of internal and external data sources and preparing them for visualization in Tableau. With the speed and flexibility of Alteryx, the university is quickly processing more than 1,000 data variables across a large pool of prospective and current students.
Operational Impact
Quantitative Benefit
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