Building Strategic Enrolment Intelligence Data. Part 1

Transcription

1 Building Strategic Enrolment Intelligence Data Part 1 Lucy Bellissimo, Clara Wong OURA 2015: Activate the Future! February 12, 2015

2 Strategic Enrolment Management focuses on what is best for students and how to ensure their success while addressing all aspects of the institution s mission. R.B. Wilkinson, Director of Analysis, Planning and Assessment, Pittsburg State University 2

3 Student Experience The Entire Student Lifecycle Black, J. (2010). Strategic Enrolment Intelligence. Academica Group 3

4 York s Inputs to Strategic Enrolment intelligence Surveys (Leavers, NSSE) Publications Internally developed surveys (Campus Labs Baseline) Canned reports sourced from student information systems Data mining Enterprise Data Warehouse 4

5 Data Information Data is the enabler of SEM but we must be intentional and purposeful in what we measure: Align to university mission and strategic goals Why do we need the information What questions are we trying to answer Who needs the information How will it be used 5

6 Varying Needs Scope Universitywide and external comparisons Time Horizon 3-20 years Needs trends modelling rich visualization fluid requirements Division or Faculty 1-3 years trends performance metrics year over year comparisons, Individual and department current to six months detailed reports consistent well defined Gagne, B and Wong, C. Beginning BI York s Data Warehouse Journey, SaskU CANHEIT

7 Information Producers and Consumers Information access varies by division (academic, finance, research, student) and by tier (operational, managerial, executive) Tiers tend to be served by different reporting groups The executive tier is nearly exclusively served by OIPA Very broad use of operational reports Satellite or local systems 7 Gagne, B and Wong, C. Beginning BI York s Data Warehouse Journey, SaskU CANHEIT 2012

8 Biggest Barriers to Accessing Enrolment Intelligence* 77% - Old inflexible systems, difficult to get data 77% - Need training to understand how to use enrolment intelligence data 57% - Not enough time to develop intelligence *From our survey 8

9 Duplication and Complexity Gagne, B and Wong, C. Beginning BI York s Data Warehouse Journey, SaskU CANHEIT

10 Data Governance Consistency Accuracy Completeness Maintenance Access Security 10

11 The Need for an Enterprise Data Warehouse Easy user access Minimum human effort to deliver information Timely and reliable data Authoritative and definitive source Serves multiple information needs Integrated data from disparate systems 11

12 Information Access Maturity Operational Reporting Decision Support Solutions Real Time BI Transaction Reports Custom Reports Self-Serve/Ad Hoc reporting Analytical Reporting Institutional Performance Management Embedded Analytics Gagne, B and Wong, C. Beginning BI York s Data Warehouse Journey, SaskU CANHEIT

13 Enterprise Data Warehouse Gagne, B and Wong, C. Beginning BI York s Data Warehouse Journey, SaskU CANHEIT

14 Implementation Approach Decision Domain Concept Explore all decision domains together to obtain high-level requirements. Design a strong foundation, especially for shared dimensions like Time, Term, Faculty and Program Concentrate on one decision domain to support a single business process then move to the next domain. Graduation 14 Enrolment 1

15 York s Data Warehouse Authoritative source for enrolment planning Insight, on OBIEE 11g Admissions domain - applications, offers, accepts, registrations, admit grades, choices Enrolment domain first phase soon to be released: headcounts, courses 50 dashboards 400 users 15

16 Sample Dashboards Taken from York U EDW 16

17 Contact Information Clara Wong, Director Student Administrative Systems Questions?