Applied strategies for getting data into the hands of decision-makersLunch and Learn Online Seminar Series July 21, 2005 Predictive Analytics in Higher Education Administration Hosted by: Bob Valencic, SPSS Higher Education © 2005 SPSS Inc.
Today’s Agenda • Business issues in higher education • Defining the Predictive Enterprise and SPSS Web App Framework • Today’s Case Study with Sherri Sahs • Q & A • Want to learn more? • Upcoming Events
Higher Education Business Issues • Institutional effectiveness • Student learning outcomes assessment • Enrollment management • Marketing • Alumni How can advanced analytical technology help?
CRM Operations Risk Text mining Surveys Studentservice Web mining Enrollmentmgmt Student View Alumnifunding Data at the heart of theThe Predictive Enterprise • Interaction data • - Offers • Results • Context • Click streams • Notes • Attitudinal data • - Opinions • Preferences • Needs • Desires • Descriptive data • Attributes • Characteristics • Self-declared info • (Geo)demographics • Behavioral data • - Courses taken • - Transactions • Test history • - Contributions
Getting data into the handsof decision-makers SHERRI L. SAHS Decision Support Systems Manager and Research Analyst © 2005 SPSS Inc.
Overview of Presentation • Background • Dynamic Web-Based Environment • Project Status • Demonstration • Questions
Background • IR office keepers of the “official” data • Data downloaded from several systems/sources • Data analyzed using SPSS products • Static web data views and hard copy reports • 2003-2005 IR Strategic Initiative • Incorporate dynamic data access
Dynamic Web-Based Environment • Easy & immediate access to information • Adaptable to specific user needs • Canned, interactive, and ad-hoc analysis and reports
Dynamic Web-Based Environment • SPSS WebApp Framework • Released June 2001 • Developed with Gallup Organization • Unfilled customer need • Demand easy & immediate access to information • True thin-client • Web browser & Internet connection
Dynamic Web-Based Environment • Minimum System Requirements • Server • 2GB RAM • 700MB drive space • MS Windows 2000 server or MS Windows 2003 Server; Sun Solaris 2.8 or higher • 2 CPUs with 1GHz processors • Database • MS SQL Server 2000 (included w/SPSS WebApp) or Oracle 9i • Web Client • MS Internet Explorer 5.5 for Windows or Safari 1.2 for Macintosh
Project Status • Implementation • Initial - January 2004 • Upgrades (Hardware & software) - October 2004 • Delay in university-wide deployment • Resources • Need to include dashboard indicators • Focus group feedback • University-wide availability • Fall 2005
Scenario #1 • Director of Admissions needs applied, accepted, deposited, and enrolled headcount for current term as of today.
Scenario #2 • Faculty member from the department of Aeronautical Science wants to know if incoming freshmen who declared Aeronautical Science as their major chose ERAU because of the degree programs offered.
Scenario #3 • Strategic Planning analyst needs data for the average number of term hours taken in the last 5 years by each major program.
Scenario #4 • Faculty member coordinating CAA Self Study requests 5 years of enrollment data for all programs under the College of Aviation. Break out data for each campus by class level to include: state, country, HS Rank and average ACT and SAT scores.
Scenario #5 • Department of Financial Aid completing Florida Department of Education Eligibility application needs Fall 2004 enrollment data for in-state residents. (1) Number of full-time/part-time students by degree seeking/non-degree seeking by program level. (2) Credit hours for full-time students by program level. (3) Credit hours for full-time degree-seeking students by program level.
Q & A © 2005 SPSS Inc.
Want to Learn More? • Contact an SPSS data mining expert by calling 800-543-2185 option 2. • http://www.spss.com/webapp • Check out the Knowledge Management/Data Mining Discussion Group: http://www.dmhe.org • People, Processes, and Managing Data, Second Edition by Gerald McLaughlin and Richard D. Howard – www.airweb.org • Bob Valencic firstname.lastname@example.org
Events & Workshops • SPSS Directions 2005 – November 16 – 19, Las Vegas, NVhttp://www.spss.com/spssdirections/ • “Hands-on Application of Clementine for Clustering and Predictive Modeling” presented by Dr. Jing Luan • MIDAIR Conference – November 9-11, 2005 Columbia, Missouri • “Hands-on Application of Clementine forClustering and Predictive Modeling” presented by Dr. Jing Luan • Look for other Lunch and Learn online seminars for Higher Education at www.spss.com/lunchandlearn. Other topics included • Data mining’s role in managing student lifecycles • predicting first year retention and key student characteristics • getting data into the hands of decision-makers
Thank you for attending today’s online seminar To contact today’s speakers: Bob Valencic: email@example.com Sherri Sahs: firstname.lastname@example.org © 2005 SPSS Inc.