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The Evolution of Business Intelligence at SPC: One Year Later

The Evolution of Business Intelligence at SPC: One Year Later. January 2013. Florida Association of Institutional Research Annual Conference. Institutional Research and Effectiveness St. Petersburg College P.O. Box 13489, St. Petersburg, FL 33733 (727) 712-5237

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The Evolution of Business Intelligence at SPC: One Year Later

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  1. The Evolution of Business Intelligence at SPC: One Year Later January 2013 Florida Association of Institutional Research Annual Conference

  2. Institutional Research and Effectiveness St. Petersburg College P.O. Box 13489, St. Petersburg, FL 33733 (727) 712-5237 FAX (727) 341-5411 Presenters • James CoraggioAssociate VP, Institutional Effectiveness, Research, and Grants • Dan GardnerCoordinator, Institutional Research and Reporting

  3. SPC Quick Facts • SPC - established in 1927 • 9 Campuses in Pinellas County • First FCS college to offer baccalaureate degrees; 1,061 (2011-12); cumulative 5,179 degrees (2002-12) • 2011-12 FTE: 22,350 • 2011-12 Graduates: 6,003 • Fall 2012 credit enrollment: 33,232 (unduplicated)

  4. FAIR presentation 2011 Using Business Intelligence to Improve Student Success http://www.spcollege.edu/central/AE/PowerPoints/FAIR%202012%20-%20Business%20Intelligence%20FINAL.pptx Background

  5. Today’s Goals This presentation will describe: Where we were… Where we are .. Where we will go…

  6. Two-to-three weeks to complete a data request • Discussions became stale • Arguments over the data definitions • New questions once data is received take another two-to-three weeks to get answered Where we were…

  7. Why was BI a priority at SPC? SPC exemplified the ‘data-rich, information- poor’ institution. Staff need timely information for decisions to maximize student success. SPC needed to leverage data from across the College by linking multiple data systems and elements in one reporting interface.

  8. Why was BI a priority at SPC? SPC needed: • timely, relevant,and valid information at the college, campus, and program levels, • in an easy-to-interpret format to support evidence-based decision-making, • and drive performance improvement.

  9. Developing BI • Step 1: Acknowledge that data in its purest sense is not very useful. • Step 2: Design a tool that defines, aggregates, and organizes the data into useful and relevant information for the stakeholders. • Step 3: Provide end-user training to assist them in correctly interpreting and using information properly. • Step 4: Consistently remind all end-users that data and information can be powerful, but it is only the start of the conversation.

  10. Where we are now… Allows college employees the ability to quickly access information required to make decisions to improve student success. Designed to provide standardized information to end-users and key stakeholders with the ability to look at data measures through multiple views. Measures can be rolled up and viewed at the aggregate institutional level or an end-user can ‘drill-down’ and view the same data measures at the campus or program level.

  11. 2011 2012 2013 2014 Timeline

  12. Status • Active users, n = 204 • New users in process = 60 (primarily academic advisors) • Training completed, headcount • Level 1 trained = 175 • Level 2 trained = 82 • Total number of persons trained (level 1 & 2) = 257 • Type of users: Executive Team, Provosts, Deans, Program Directors, Functional Administrators, Advisors

  13. BI Student Cube Structure

  14. http://www.spcollege.edu/mission/ Changing the Culture… Culture of Inquiry We encourage a data-driven environment that allows for open, honest dialogue about who we are, what we do, and how we continue to improve student success. Transparency We embrace openness in communication by providing access to college processes and procedures, expenditures, institutional effectiveness, and student success rates.

  15. The most important element of the SPC Pulse philosophy has been end-user empowerment. Teaching them how to fish…

  16. Training Schedule, January & February 2013 • Level 1; 1/8, 1/25, 2/5, 2/22 • Level 2; 1/8, 1/25, 2/5, 2/22 • Update for Deans, 1/17 @ Deans meeting • Advisor training @ Tarpon Springs: 1/25 • Update for Associate Provosts: 1/29 • Advisor training @ Clearwater: 2/15 Sample Training Schedule

  17. Challenges Building competence among executive and academic leaders Managing Accelerated Expectations and Enthusiasm Ensuring security/privacy Documenting while building Limited Resources Tailoring specialized solutions

  18. More robust cohort data • Prediction information (Predictive Analytics) • Human Resources data • Further developed Finance data Where we want to go…

  19. Lessons Learned Resources, Resources, Resources! Leadership support Cross functional development team Financial support for technology/ infrastructure requirements End-user buy in and involvement in the development Managing expectations

  20. Questions?

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