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In recent years, the sporting experiences offered by Canada’s amateur sport organization have been brought into question. Numerous scandals have been uncovered across a variety of sports that have displayed significant shortcomings in managerial conduct, safety assurances, inclusivity, and equity. As a result, Canada’s national sport organizations have been called to address the widespread shortcomings in sporting experiences to ensure that all participants can better access the benefits of sport.
Currently, Tennis Canada’s mission is “to lead the growth, development and promotion of tennis in Canada,” while valuing innovation and excellence. Further, Tennis Canada strives “to champion positive tennis experiences”. Given that data analytics can help identify patterns with respect to what has happened (descriptive analytics), explain why something has happened (diagnostic analytics), identify what may happen in the future (predictive analytics), and/or identify what should happen next (prescriptive analytics) it can prove critical for organizations.
The purpose of this project is to leverage Tennis Canada’s data analytics strategy to inform a national participation strategy. In recent years, Tennis Canada has experienced unprecedented success delivered by its high-performance athletes (i.e., 2024 Billie Jean King Cup), to sustain success at the highest levels of tennis competition it is essential that grassroot programs are performing optimally. Capturing this data will allow Tennis Canada to better direct resources to make operational and programming enhancements while also positioning the organization as a leader in effectively engaging participants and delivering positive sporting experiences.
Ann Pegoraro
Tennis Canada
Sociology
Arts, entertainment and recreation
University of Guelph
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