Third-Party Vendors for Data Analytics: Friend or Foe ? – Part I (SUMMARY AND CONCLUSION)

1. Third-Party Vendors for Data Analytics: Friend or Foe? – Part I (SUMMARY AND CONCLUSION) November 12th, 2017 Neena Verma Director of Institutional Research University of Massachusetts President’s Office

2. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE?PART IPRESENTERS • Monica Brockmeyer, Assoc. Provost for Student Success, Wayne State University (EAB) • Brian Fairhurst, Director of Continuous Improvement, Florida State University (ABC) • Tiffany Mfume, AVP Student Success and Retention (STARFISH) • Neena Verma, Director of Institutional Research (SYSTEMS PERSPECTIVE)

3. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – WAYNE STATE UNIVERSITY

4. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – WAYNE STATE UNIVERSITY • Technology for change - not for its own sake.• • There is no silver bullet. • Retention is not enough. • Tackle challenges from multiple perspectives. • “Go Big…or Go Home” - Sometimes change is hard so you might as well get it over with. • Create successful Action Groups. • Technology is business process made precise.

5. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – MORGAN STATE UNIVERSITY • Let Leadership Lead • Engage Strategic Partners (IT, IR, CFO) • Remember Data Integration • Discuss Tools with Users at Other Campuses • Set Clear Goals and Objectives • Make the Most of Training • Celebrate Your Wins • Evaluate and Share Results • Be Open to Tweaking and Evolving • Stay Focused!

6. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – MORGAN STATE UNIVERSITY BOTTOM LINE Technology, tools, and systems can help faculty, administrators, and staff work smarter and not harder. With the support of internal and external partners and collaborators, institutions can use technology to design and deliver strategic initiatives to foster student success and degree completion.

7. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – FLORIDA STATE UNIVERSITY Benefits/Insights • Compare our spending results to our peers using a consistent set of analysis factors to normalize the results • Allows us to track progress over time • Promotes an organizational culture built on data-informed decisions, quantifiable goal-setting, and performance measurement • The consortium is collaborative – frequent communication via CAB and Client Services Manager • Provides a confidential and reliable forum to allow for best practices sharing with peers that drives meaningful insights • Multiple platform features have evolved in response to member feedback

8. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – FLORIDA STATE UNIVERSITY Challenges • Initial mapping of activities and sub-activities was labor-intensive • Use of Key Representatives across campus • Mapping requires current Position Descriptions • Mapping process has significantly improved by using a Mapping Index • Confidence in mapped data takes time to confirm “apples- to-apples” comparisons • After the initial mapping of base year data, a significant amount of Year 2 and subsequent year data can easily be migrated from base year data

9. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? SUMMARY AND CONCLUSION LESSONS LEARNED – FLORIDA STATE UNIVERSITY Opportunities for Improvement • Data Refinement • Payroll file specification • Analysis Factors • Fully implement multi-year trended comparisons • Fully implement employee classification features • Senior Leadership, Office Admin, Professional Staff, Students &Temps • Salary Bands • Review characteristics of other universities to determine operational peers

10. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? A SYSTEMS PERSPECTIVE • University of North Carolina System (17-campus system) • University of Massachusetts System (5-campus system) • University of Texas System (8-campus system)

11. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? A SYSTEMS PERSPECTIVE (CONT’D) LESSONS LEARNED • Demands executive sponsorship and commitment to be successful • Promotes disciplined collaboration and disciplined planning • Demands committed resource investment • Helps develop financial efficacies • Helps institutionalize strategic planning around big-ticket spending • Demands strategic and methodical determination of organizational priorities in the realm of data analytics • Helps eliminate redundancies – if approached strategically • Helps streamline business processes across multi-campus systems • Helps streamline data governance across multi-campus systems • Helps streamline data analytics and reporting across multi-campus systems

12. THIRD-PARTY VENDORS FOR DATA ANALYTICS:FRIEND OR FOE? QUESTIONS?