Patricia Ramsey & Carlos Piemonti 2013 FAIR Conference January 31, 2013
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Transcript of Patricia Ramsey & Carlos Piemonti 2013 FAIR Conference January 31, 2013
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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
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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
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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
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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
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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
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2006SAS EG
2012SAS BI
Progress Through the Years
2000MS Word
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2007
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2011
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2012
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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
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Old Way
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New Way
Update filters to reflect new reporting cycle
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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
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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
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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
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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.
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College
Department
Undergraduate
Graduate
Report Contents
Sample
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Prompts Page on the Portal
Dynamically generate values&
Cascading parameters
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Cascading Parameters
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Prompts Sample
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Report Display in the Portal
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Update Filters
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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!
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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
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