University aces data strategy to retain more students
Strong data focus provides the foundation for student and university success.
saved through efficiency gains
Better student outcomes, million-dollar savings just the beginning for the University of North Texas
For the past year, Jason Simon, PhD, has been on a journey to fundamentally reengineer the data landscape of the University of North Texas (UNT). Like any large enterprise, UNT is awash in data. Academic data. Business data. Research data. As Assistant Vice President for Data Analytics and Institutional Research, Simon knows the potential of data to drive business and academic outcomes, like student retention rates and student transportation costs. But how does one transform the analytics culture of a century-old institution?
“The biggest challenge facing higher education right now is just trying to wrangle all the information in a way that can actually be used for some really strong purposes,” Simon says.
Since implementing SAS, efficiencies afforded by analytics have reduced costs at the university by more than $1 million. Factor in the positive impacts on student success, and you’ve got a strong analytics culture where decision making generates wins on multiple fronts. Jason Simon, PhD Assistant Vice President for Data Analytics and Institutional Research UNT
Data management the ‘secret sauce’
UNT is home to 38,000 green-clad students, enrolled in more than 100 graduate programs. Since its founding in 1890, the university has been a pioneer in emerging technology.
But like so many others, the institution was data rich and insight poor. Fundamental issues with data integrity, data management and data governance plagued the university’s analytics department, relegating data to silos and making enterprise analytics difficult.
Addressing this challenge meant starting from the ground up, according to Simon.
“Everyone wants to jump automatically to the visualization and the pretty tools,” he says. “But the data must be addressed first. Where does it exist? How do you manage it? What’s the metadata around it? For us, getting our data in order has been our secret sauce.”
Exposing trends leads to policy changes
Deploying SAS® Data Management brought about a seismic shift in UNT’s analytics capabilities. Now, more than 425 business users across the university are empowered to make decisions based on the UNT Insights program housed on the university’s enterprisewide data and analytics platform.
“The data management opportunities that SAS afforded us have been a real difference maker,” Simon says. “It was the shot of adrenaline we needed to reach our goals.”
Armed with a single source of the truth, executives quickly gained the confidence to make policy decisions based on analytics. Success soon followed.
The drop, fail, withdraw, incomplete (DFWI) rate is a key indicator of student success. Administrators track this metric closely, which in years past, was presented on an exhaustive 75-page Excel spreadsheet and available by single semester only.
By harnessing the power of SAS Visual Analytics, administrators were able to view a four-year trend for DFWI rates, exposing patterns to investigate. Policies and procedures were changed, and as a result, retention rates rose across FTIC and Transfer populations, leading to better student outcomes and an estimated $450,000 savings for the university. (Estimate via the EPI Retention Calculator.)
University of North Texas – Facts & Figures
university was founded
Optimizing bus routes with analytics
With a solid data foundation in place, analytics projects began to roll.
One involved optimizing bus routes. Simon and his team were asked to look at where students lived in relationship to campus. Using SAS Visual Analytics, they created a heat map of student housing, which they overlaid on top of transportation routes.
The 30-minute exercise exposed an opportunity to eliminate some of the buses while retaining adequate transportation options. Nearly $450,000 went back in the coffers.
“Sometimes it doesn’t take a 5,000-hour data modeling exercise to yield value from analytics,” Simon says. “People often spend time looking for answers to the really hard, deep, complex questions, but they can miss the opportunities right in front of them.”
Efficiencies bring million-dollar savings
According to Simon, “Since implementing SAS, efficiencies afforded by analytics have reduced costs at the university by more than $1 million. Factor in the positive impacts on student success, and you’ve got a strong analytics culture where decision making generates wins on multiple fronts.”
Simon is quick to credit the university’s executives for their support.
“We’re really blessed at the University of North Texas to have a leadership team that not only understands the work we’re doing – and is supportive of it – but also isn’t shy about championing it in their own divisions.”
Mobile dashboards give leaders quick insight to make decisions. They used to pick up the phone to get answers from Simon. Now they can drill into the data themselves.
“We’re no longer handing out fish,” Simon says. “Instead we’re helping our community learn how to fish. And the investment is paying off. Our executives are starting to think differently about the kinds of questions they ask, which drives us forward. We are better able to leverage our staff expertise to enable the institution to continue to support our students toward their goals of earning degrees.”
Building blocks for success
Success with analytics has formed a springboard for future projects. Instead of looking externally, UNT has launched a payroll dashboard to analyze, down to paycheck level, every dollar spent at the university. In addition, four new analytics graduate degree programs are being introduced to keep the talent pipeline strong.
“The future of analytics at the University of North Texas is vibrant,” Simon says. “And I cannot overstate the importance of helping institutional leaders use data to drive better outcomes. Data management and data governance are essential building blocks for any institution – and its students – to be successful.”
Результаты, описанные в этой истории, относятся к конкретной ситуации заказчика, его бизнес-моделям, исходным данным и вычислительным средам. Опыт каждого клиента SAS уникален и отличается техническими параметрами создаваемой системы, поэтому все заявления носят ситуативный, а не общий характер. Фактические результаты, экономия, производительность и изменения в ключевых показателях эффективности могут варьироваться в зависимости от конфигурации решения и бизнес-условий каждого заказчика. SAS не гарантирует и не утверждает, что каждый заказчик получит такие же результаты, как описаны здесь. Единственными гарантиями для продуктов и услуг SAS являются те, что заявлены в письменном соглашении по соответствующим продуктам и услугам. Ничто из описанного в данном материале не может расцениваться как дополнительные гарантии. Заказчики поделились с SAS своими достижениями и результатами в соответствии с условиями договора или после подведения итогов успешного внедрения программного обеспечения SAS. Наименования продуктов являются торговыми марками соответствующих компаний.