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Data Analytics So Simply Even A Dean Can Do It

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Data Analytics So Simply Even A Dean Can Do It

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Data Analytics So Simply Even A Dean Can Do It

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  1. Data Analytics So Simply Even A Dean Can Do It

  2. Session Rules of Etiquette • Please turn off your cell phone/pager • If you must leave the session early, please do so as discreetly as possible • Please avoid side conversation during the session • Please complete the session evaluation • Thank you for your cooperation

  3. Session Overview • What is Business Intelligence? • Business Drivers • Traditional Access to Data • EICC BI Implementation • EICCezData Analytics • Key Success Factors

  4. Enrollment: 13,200 credit students, 165,000 credit hours, 6883 FTE, over 63,000 Continuing Education Enrollments • 3 college campuses (Clinton, Muscatine and Scott), 10 satellite locations • District locations are spread out over 100 miles • 60+ Career Technology programs • 40+ Arts and Science transfer concentrations • Over 3700 high schools students earned college credits while in high school.

  5. What is Business Intelligence? • Business Intelligence helps organization better manage and measure their business by converting data into actionable, fact based information to improve business decision making and insight, and providing sustainability through strategy alignment, process enablement and smart technology standardizations and integrations.

  6. Top BI Goals in Education Source: InfoTech Research Group

  7. Business Drivers • Decision Making • Having a higher degree of insight into key organizational metrics to empower users and enable informed decisions. • Strategic Alignment • Provides the ability to report and measure against the strategic goals and planning of the institution. • Accessibility to Information • Reduces the reliance on IT and integrates multiple data sources to provide users with a complete picture of the data.

  8. EICC BI Business Drivers • Shifting Enrollment • 28% of Students are Current High School Students • 26% of all credit hours are earned in online sections • Enrollment returning to FY10 levels • Demographic Changes • Aging Demographic • Declining Population Base • Smaller High School Enrollment • Pockets of emerging diverse communities • Resources • Flat State General Aid • Reduced Foundation Support • Increase in Specific Targeted Grants or State Funding

  9. EICC BI Business Drivers • Strategic Plan Alignment • Increasing the number of students earning postsecondary certificates and degrees that have value in the marketplace. • Prepare a skilled and educated workforce to support the economic development of our region. • Provide a high-quality, high-value, smart start for further higher education. • Deepen partnerships with K-12 schools to improve educational outcomes in our communities. • Continue to increase operational efficiency and effectiveness as a high-performing organization.

  10. Traditional Data Access • ERP Delivered Reports • Limited Criteria Options • User Manipulated Data • Creative Definitions • Hand Tabulations • “Historical” Reporting using Live Data • Combined Multiple Sources

  11. Traditional Institutional Research • Focused on mandatory reporting including Accreditation, State, Federal and Grants. • Many users do not know what data is available to them. • Once information is requested, many times only a portion of what is needed is delivered. • Information Overload…too much of a good thing? • There are many iterations to requests to get a comprehensive picture of the information. • IR Staffing and Resource Limitations

  12. EICCezData Project Fall 2012 Partnered with McGladrey, LLP QlikView Business Discovery Platform Spring 2013 Identified Key Analytics Data Integration with ERP Spring/Summer 2013 Leadership Trained on EICCezData

  13. BI to the Rescue • Adding efficiency to basic requests. • Ability to allow self definition = empowerment • Making decisions based upon valid, complete and timely data • Maintain data integrity and standardization though snapshots and banding

  14. BI to the Rescue • Data on the Fly • Real-Time, Collaborative Decision Making • Easy to Navigate Tool for Non-Researchers • Dynamic apps and state of the art graphics • Comprehensive Access to Enrollment Trends, Student Success Matrices, etc.

  15. EICCezData

  16. Historical Analysis • Enrollment evaluation • Credit completion • Evaluation of beginning term vs. 14 day • Development of cohorts • Graduation analysis • Demographic trending

  17. Historical Analysis

  18. Historical Analysis

  19. Race and Ethnicity Historical Analysis Age Building Location

  20. Student Success • Targeted intervention strategies – ability to look at student population differently • Remedial analysis – evaluation of courses which should require pre-requisite to increase success • Registration analysis • Retention monitoring • Enrollment data review • Demographic profiling

  21. Student Success - Remedial

  22. Student Success Grade Dist

  23. Completion Benchmarks • Completed Credits, Enrolled vs. Earned • Degrees and Awards • Time to Completion • Measure Persistence Rates at an Aggregated Level • Impact of Intake Process • Assessment, Placement and Pre-requisite Analysis

  24. Completed Credits

  25. Degrees

  26. Persistence Rates

  27. Resource Evaluation Instructional • Section Analysis • Faculty Load • Grade Distribution and Course Success • Evaluation of Faculty Performance • Availability of Course Offerings • Multi Campus Collaboration • Faculty/Student Ratio • Full Time Vs. Adjunct Hiring Decisions

  28. Student Teacher Ratio By Subject and Section By Course By Faculty

  29. Section Analysis

  30. Resource Evaluation Student Services • Student Intervention Strategies • Cohort Analysis • Advising Practices • Advising Load/Case Management • Targeted Messaging • Current Students • Recruitment/Marketing

  31. Actionable Student Lists

  32. Next Phase Development • Continue Clear Alignment to Strategic Goals • Financial Aid and Financials • Student Retention Alert Data • CRM and Communications Data • More Robust Reporting/Sandbox Tool • Next Level Roll Out

  33. Key Success Factors • Define the Business Questions and Vision… • identify the key strategic questions or themes that the institution wants to get answers to but has not had the capability to do historically • Define the Vision and Roadmap… • holistically articulate a vision, what constitutes success, and the high level roadmap to guide the journey • Conscious Focus on Data Management, Data Quality and Governance… • define and enable robust data management capabilities that support data quality

  34. Key Success Factors • Assign Right People with Right Skills with Right Oversight… • establish an appropriate delivery structure and then place the right people with right skills into the right roles and making it a priority • Focus on Smart Technology Standardization… • standardize on industry relevant technologies • Embrace an Iterative Delivery Methodology… • avoid a “boil the ocean” delivery approach and follow a proven delivery iterative methodology

  35. Questions? Erin Snyder Associate Director for Enrollment Management Eastern Iowa Community Colleges 563-336-3310