University of Central Florida generates institutional knowledge with SAS®
Knowledge forms the cornerstone of any institution of higher education. Beyond the lecture halls, classrooms and libraries of universities the world over, knowledge is at the very heart of university operations. Driven by institutional research (IR) departments – which play a vital role in supporting internal and external consumers of data – accurate and sophisticated analysis provides institutional decision makers with the insights needed to make proactive decisions.
Customer Success Video
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Sandra Archer, PhD
Director, Office of University Analysis and Planning Support
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The University of Central Florida (UCF) is a major metropolitan research university and is the second-largest university in the US. Its Office of University Analysis and Planning Support, along with the Operational Excellence and Assessment Support and Institutional Knowledge Management groups, comprise the backbone of the school's institutional knowledge.
The Office of University Analysis and Planning Support uses the Education Analytical Suite from SAS – a bundle of integrated solutions for data management, analysis and information delivery across the organization. The solution is used by UCF to analyze and report on its colleges, programs and student life cycles, including admissions, course-taking behavior, retention, and completion and continuation patterns. The department also conducts research on various areas of university management, such as faculty activity, cost studies, university benchmarking, resource utilization and salary equity.
Better support for students
"The university's customers are its students. Our analytical work helps the leadership team make informed decisions to further UCF's mission of providing students with a world-class education," says Sandra Archer, PhD, Director of the Office of University Analysis and Planning Support. "The goal of performing analytics is to gain a better understanding of what's happening with students so that we can determine how our university can serve them better."
"We look at population projections and high school graduation rates, within the state and across the nation, to determine a demand forecast for enrollment. Enrollment is a significant focus for us; predictive analysis ensures we stay on top of it," explains Archer. "We go back each year to assess the accuracy of our results – our model is accurate within 1 percent. We implement correction factors on a year-to-year basis to continually teach the model and improve the future accuracy."
Forecasting enrollment, says Archer, supports administrative planners across the entire university, who use the projections to establish budgets, determine what courses will be offered and how many faculty resources will be needed. The projections are also used by the state to determine aspects of funding the university receives.
According to Archer, students nationwide take longer to graduate, with a smaller percentage of students than in the past graduating within four years. Coupled with the part-time and transfer students, who typically earn degrees over a longer time frame, multiyear planning at a university can be a difficult exercise. Using SAS, Archer's team created a chart to demonstrate the 10-year effect of student enrollment.
"One of the models we developed looked at average student course loads over time," she explains. "It has allowed us to look at the implications of admitting one student, or an aggregate of freshmen or transfer students, over a 10-year period. There are still people enrolled up to year 10 – not many, but we can understand the long-term effects of the admissions decision we make today."
"Eight years ago we developed a set of benchmarking peers and held the list static over time," explains Archer. "Recently, we used a new clustering analysis technique to rework the lists, and we looked back to see how the institution had changed compared to the two original lists. Some of the institutions that we once considered aspirational had become comparison peers."
The impact of student life cycles
Archer's team also applies a percentage of its time to exploratory analysis, which provides insight in support of forward-looking decisions.
"We keep an ear to the ground about what is happening now, and what is on the horizon," she says. "We also look at what other institutions are doing to determine if there is something we might want or need to implement. SAS gives us the ability to perform a lot of analytics quickly, which allows more time to pause and look at the bigger picture. It also helps us find patterns in the data that we might not otherwise have noticed.
"I couldn't imagine doing my job without SAS," concludes Archer. "I don't know how we would be able to manipulate some of the vast and complex data sources we use. The more we do, the more people see what we can do. There has been an increase in demand, especially from special programs and our regional campus system. We can take an overall university analysis and apply the technique to a small area of the university, to provide the answers they need. SAS makes it very easy for us to do."
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Sandra Archer, PhD,
University of Central Florida
UCF required a reporting and analysis system for enrollment, strategic planning, management and exploratory analysis to provide university leaders with insight that supports proactive decision making.
Education Analytical Suite
The university has a better understanding of student life cycles and uses accurate enrollment forecasts to improve operational planning, optimize resource allocation and support budget decisions.
“"I couldn't imagine doing my job without SAS. I don't know how we would be able to manipulate some of the vast and complex data sources that we use."”
Sandra Archer, PhD