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Evolution of Program Review at UCF Using SAS Business Intelligence Tools to move Towards Optimization. Patricia Ramsey & Carlos Piemonti 2013 FAIR Conference January 31, 2013. Program Review Process. Task : Examine the quality and productivity of programs - PowerPoint PPT Presentation
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Evolution of Program Review at UCF Using SAS Business Intelligence Tools to move Towards
Optimization
Patricia Ramsey & Carlos Piemonti2013 FAIR Conference
January 31, 2013
Task: Examine the quality and productivity of programs - Mandated by state statute - 7 year cycle - Approximately 30 programs per year
Goal is to determine which programs to: Enhance, Reduce, Maintain, Eliminate, or Study Further
Process requires a self-study, external consultant visit, and committee recommendations to the Provost, BOT & BOG
Program Review Process
Program Review Data Value
Wide range of data is required to support the process during all steps
Departments and programs - self-study prep External Consultants - better understand the
program prior to site visit Program Review Committee members and the
Provost - to identify opportunities or weaknesses
Program Review Data Value
Each program review data document includes the following:
Series of data points Trend information Comparison of program to overall department
and college
Program Review Data Requirements
Cycle Data Generation
Data Output Data Delivery
2000 Manual MS Word Tables Emailed2003 Programmatic MS Access summary
tables Web display via .asp
2006 Programmatic SAS® Enterprise Guide (EG) to MS Excel pivot tables
Emailed & Web (.pdf)
2008 Programmatic EG – developed report format to .pdf
Web (.pdf)
2012 Programmatic EG and WRS – report surfaced on web
Web
Program Review History
2006SAS EG
2012SAS BI
Progress Through the Years
2000MS Word
2007
2011
2012
Recent Advances
• Surface the data on the web via SAS BI tools – Web Report Studio (WRS) (IR waited for cascading parameters to be available!)
• Provide data for all programs, not just programs under review
• Auto-populate the self-study templates Graphs and charts are now developed in Web Report
Studio not in EG
Old Way
New Way
Update filters to reflect new reporting cycle
The Magic Behind the Scenes
Official data is loaded to Data Warehouse each term
SAS Information Maps create a view of the data designed for a purpose
SAS Web Report Studio graphically surfaces the data on the web
New Maintenance Routine
1. Data prep: run an EG project once a year and Roll forward one cohort in each report by updating filters (Feb)
2. Request refreshed data to UAPS (Projections – May), UAPS does it by replacing table
3. Generate reports: preliminary (Apr); final (Aug) for programs under review
New Program Review CyclePreparationUpdate ‘Year’
filters for next cycle – in each tab in each report
SAS Web Report Studio
Feb
Update source data to include for next reporting year – Automatically Info Maps are refreshed
SAS Enterprise Guide
Feb
University Community has access now!1H
New Program Review CyclePDF Report Generation
Respond to prompts and print reports as PDFs (PMP)Edit PDFs manually
Combine PDFs into 1 report per ‘program area’ and update bookmarks
Days 1-2
Day 3
Day 4
Program Review 2012-2013:12 department reports were created twice (preliminary and final versions) in less than 10 workdays.
College
Department
Undergraduate
Graduate
Report Contents
Sample
Prompts Page on the Portal
Dynamically generate values&
Cascading parameters
Cascading Parameters
Prompts Sample
Report Display in the Portal
Update Filters
Program Review 2012-2013by Department/Program Area
Communication
Dean's Office UGST
Health Mgmt. & Informatics
FL Interactive Entertainment Academy
Modern Languages
Legal Studies
Physical Therapy
Public Administration
Optics
Political Science
Office of Interdisciplinary Studies
Health Professions
Document Layout Key
1
12 For a total of 26 programs!
Limitations
Security - Program Review in the portal is limited to select users. Consultants must have access to data outside the portal. IR must make .pdf versions and post to a location outside this firewall so they have easy access
Design - SAS has not yet designed prompts that apply to the entire report. The user must respond to prompts on each tab