First Learning Outcome: Strategies to put access to data in the hands of users
Second Learning Outcome: Methdologies for implementing data tool development
Third Learning Outcome: Examples of applications of business intelligence data in admissions and recruitment
Core Competencies: Collaborative Decision-Making and Consensus-Building
Interpretation and Application of Institutional and External Data
Proficiencies: Admissions: Reporting Progress Toward Enrollment Goals
Records & Academic Services: Data Systems Management
Intended Audience: Some experience in the profession
Presenter(s):
Richard Levin University of Toronto
Alexandra Agostino University of Toronto
Leveraging your data – a collaborative approach with IT
Description
With about 100,000 undergraduate applications and 15,000 enrolled students per year, the University of Toronto relies heavily on data to shape its recruitment and admissions strategies. The University of Toronto Business Intelligence (UTBI) team works with admissions, student recruitment and other stakeholders to develop and implement innovative data tools that respond to the needs of end users and senior decision makers.
In partnership with subject matter experts and using the Agile development methodology that utilizes User Stories, the UTBI team has developed a rich set of reports and data visualizations using Cognos and Tableau. Where users previously had to create one-off queries, they can now can now directly access reports and analysis cubes that allow them to create simple to sophisticated reports and perform ad-hoc analysis based on their needs, and respond to requests from other departments or senior university administers. A highly collaborative development process has resulted in a culture that ensures data consistency and integrity, builds trust with the data and leads to deeper analysis of our student population.
Hours of data manipulation in multiple units have been eliminated, allowing recruitment staff more time to work with prospective students and to investigate and analyze strategic questions such as:
• What are our offer and acceptance rates by high school and how are they affected by school
visits?
• What are the major undergraduate programs of interest by country of origin?
• What is the yield rate for candidates by program choice or other candidate characteristic?
• What does the enrolment funnel look like by various demographic characteristics?
Over the course of eight years, other key data marts to support student analysis have been created to allow users to look at course and program enrolment, student fees and income, co-curricular participation, career centre and academic success counselling and work is now underway on student retention and graduation.
This session will explain the partnership between business intelligence and end users at the University of Toronto, review the development methodology, and provide a number of examples of reports and data visualizations.
Submission ID:
T3.1504
Day:
Tuesday, November 13, 2018
Time:
1:30 PM - 3:00 PM