Data Driven Leadership
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Presentation Transcript
Data Driven Leadership Leading through Data Driven Planning
Agenda • Using data in decision making • Determining data needs and capacity • Utilizing indicators for success and improvement • Data Driven Planning Process
Data Usage in Decision Making • All of us make decisions based on information daily. • Inquiries you should be asking yourself. • What is the goal? • What resources are needed? • Do I have enough data to make the decision? • Do I have the right data to make the decision? • How do I evaluate the effectiveness of the decision?
Data Inventory • Internal Data Sources • Financial Reports • Budget Reports • Demographic Data • Organizational Plans • Internal Independent Surveys
Data Inventory • External Data Sources • Census data • Regional Economic Plans • National Reports • Trade Associations • Federal Reports • External Independent Surveys
Data Inventory • Potential Data Sources • NWACC Master Plan • NWACC Fact Book (multiple years) • Current and past NWACC budgets • CCSSE and NCCBP data (national measures) • EMSI Data (Community Impact Report) • North Arkansas Council Regional Plan • Accreditation reports and documentation • NWACC Core Indicators
Core Indicators • Student Progress • Student Goal Attainment • Persistence • Graduation Rates • Student Satisfaction Richard Alfred, Christopher Shults, and Jeffrey Seybert, Core Indicators of Effectiveness for Community Colleges, 3rd Edition (Washington, D.C.: American Association of Community Colleges, 2007), 23-42.
Core Indicators • General Education • Success in Subsequent and Related Coursework • Program Learning Outcomes and Mastery of Discipline • Demonstration of General Education Competencies Richard Alfred, Christopher Shults, and Jeffrey Seybert, Core Indicators of Effectiveness for Community Colleges, 3rd Edition (Washington, D.C.: American Association of Community Colleges, 2007), 23-42.
Core Indicators • Outreach • Regional Market Penetration Rates • Responsiveness to Community Needs Richard Alfred, Christopher Shults, and Jeffrey Seybert, Core Indicators of Effectiveness for Community Colleges, 3rd Edition (Washington, D.C.: American Association of Community Colleges, 2007), 23-42.
Core Indicators • WorkforceDevelopment • Placement Rates • Licensure and Certification Pass Rates • Employer Satisfaction with Graduates • Client Satisfaction with Programs and Services Richard Alfred, Christopher Shults, and Jeffrey Seybert, Core Indicators of Effectiveness for Community Colleges, 3rd Edition (Washington, D.C.: American Association of Community Colleges, 2007), 23-42.
Core Indicators • Contribution to the Public Good • Value Added to the Community Richard Alfred, Christopher Shults, and Jeffrey Seybert, Core Indicators of Effectiveness for Community Colleges, 3rd Edition (Washington, D.C.: American Association of Community Colleges, 2007), 23-42.
Core Indicators • Transfer Preparation • Transfer Rates • Performance After Transfer Richard Alfred, Christopher Shults, and Jeffrey Seybert, Core Indicators of Effectiveness for Community Colleges, 3rd Edition (Washington, D.C.: American Association of Community Colleges, 2007), 23-42.
Data Driven Planning Process • Constituent Groups • Learner Community • Business Community • Owner Community • Pre K-16 Community • College Community
Data Driven Planning Process • Planning Areas of Focus • Quality Planning • Programming Needs • Facility Needs • Revenue Planning • Expense Planning
Quality Planning • General assumptions regarding quality planning • Accreditation Key Dates • Opportunities from the HLC Systems Appraisal • Sixteen Core Indicators • Continuous Quality Improvement Efforts
Programming Needs • General assumptions regarding program needs • New program needs • Existing program revisions • Regional planning • Personnel considerations • State regulations
Facility Needs • General assumptions regarding facility needs • New construction • Renovations • Critical maintenance • Lease space • Technical Infrastructure • Cost Efficiency
Revenue and Expense Planning • General assumptions regarding revenue and expense projections • Space allocation • Programs • Personnel • State and local funding levels • Performance based funding • Estimated headcount and retention levels
Contact Information Dr. Ricky Tompkins Associate Vice President, Research and Planning Chief Diversity Officer Executive Director, National Community College Research Institute rtompkins1@nwacc.edu http://nccri.nwacc.edu http://www.nwacc.edu
Thank You Any questions or comments?