SAS | The Power to Know

Attend customer and SAS institutional research presentations at
SAIR 2014.

Presentation times and locations are subject to change. Please confirm at the event.

Creating a Tool to Report Post-Collegiate Outcomes
Monday, Oct. 6 | 12:45 – 1:30 p.m. | Emerald B | Speaker Session

What happens to students after graduation? Do they find jobs? When they do find jobs, how much money do they make during their first five years of employment? The University of Texas System has developed a website and online tool called seekUT using SAS Visual Analytics that provide valuable data about employment earnings for the first five years after graduation, as well as average student loan debt, for graduates by degree major. This comprehensive online tool can help students and their families plan their future based on a foundation of realistic expectations of potential student loan debt and post-graduation earnings.

Presented by: David R. Troutman, University of Texas System

Creating a Strategic Enrollment Planning Dashboard Using SAS® Visual Analytics
Monday, Oct. 6 | 3:00 – 3:45 p.m. | Sandpiper D | Speaker Session

This session will cover the best practices used by a comprehensive, metropolitan university to create a dashboard to track KPIs related to its strategic enrollment planning process. It will cover how the SEP council and other stakeholders chose specific indicators as well as the selection process for choosing SAS Visual Analytics for implementing the dashboard. Lastly, a demonstration of the actual dashboard will occur.

Presented by: Erik Bowe, Kennesaw State University, and Missi Poynter, SAS

Forecasting Enrollment in Higher Education Using SAS® Enterprise Guide® and SAS® Forecast Studio
Tuesday, Oct. 7 | 9:15 – 10:00 a.m. | Coral Ballroom C | Speaker Session

This session will discuss the data sources, predictor variables and SAS tools that have enabled Kennesaw State University (KSU), a comprehensive metropolitan university, to forecast its enrollment and degrees conferred with a fair amount of accuracy. The presentation will include both internal and external sources of data KSU utilized, as well as which predictor variables had statistical significance for tracking future growth. In addition, the factors affecting KSU’s decision to use an ARIMA forecasting model will be outlined, along with a review and critique of alternate ratio-based enrollment-forecasting methodologies.

Presented by: Erik Bowe and Steven Merritt, Kennesaw State University

Developing Actionable Information Resources to Support Student Progression and Retention Initiatives
Tuesday, Oct. 7 | 10:15 – 11:00 a.m. | Sandpiper B | Speaker Session

Identifying at-risk student populations and creating or improving student retention and progression intervention programs is a critical activity for many higher education institutions today. This case study details how the institutional research office of a large university, in collaboration with the student development and enrollment services division, developed an online information portal page, using business intelligence tools and the university data warehouse, to provide users with a large variety of actionable information, including dashboards, graphs, tabular data and Excel exports. The case study will also include how this information has been successfully used for student retention and progression initiatives.

Presented by: Linda Sullivan and Carlos Piemonti, University of Central Florida

Drive Educational Change With Visual Reporting and Analytics Using SAS®
Monday, Oct. 6 | 10:30 – 11:15 a.m. | Heron | Speaker Session

Are you seeing success in using self-service reporting and analytics? Do you want to drive change by transforming processes and how your institution operates? Come see our presentation. We will show how institutions are using SAS Visual Analytics to quickly design self-service, interactive reports and immediately share them via the web, iPad® or tablet. Ready for the next step? Predictive analytics! See how institutions can quickly create descriptive and predictive models on the fly using SAS Visual Statistics. Now you can tackle your most complex challenges, and get precise answers – instantaneously.

Oct. 4 – 7
The Hilton Sandestin Beach Golf Resort and Spa
Destin, FL

SAS Booth 18


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Contact Patsy Harbour at 919-531-2855.

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