Conferences & Training

Master Class: Data Analytics — Using Data to Measure Alumni Engagement

Aug. 24, 2016
Aerial UTS Function Centre
Sydney, Australia
9 a.m. - 4 :30 p.m.

Alumni relations professionals who are competing for resources in order to enhance their programs have to use language that senior leaders understand. Budgeting for positions and programming involves making decisions, and decisions are increasingly expected to be informed by evidence - in other words, with data. Whether you work in a small or large organization, this day-long master class on measuring alumni engagement is for you. Through the lens of two schools that have successfully developed measurement models, Dalhousie University in Halifax, Nova Scotia, Canada, and the University of Sydney, this master class will explore in detail how to demonstrate value to the bottom line and to the organization's mission through the measurement and tracking of alumni behaviours at the individual level. In five sessions, you will learn how to get clarity on why you would want to quantify engagement, how to carry out such a project (who to involve, what methods to use, and what technologies can support it), and how such measurement relates to surveying, benchmarking, and predictive modelling.

Session Highlights:

• The journeys two universities have taken to develop their engagement/connection scores
• Specific examples of what engagement behaviours to measure, and how
• An introduction to predictive modelling

Learning Outcomes:

• Gain insights into how to make your team more data-driven in measuring value and outcomes
• Learn how to transition from measuring your team's activities to measuring and reporting on actual results
• Get an introduction to predictive modelling and learn how it can complement engagement scoring

Target Audience:

• Alumni relations professionals, regardless of years of experience
• Advancement professionals in communications and advancement services interested in audience segmentation, data analysis, and engagement platforms