Project Details
Description
The field of interest was the sports industry, sport science, and the use of data-driven insights through sports technology.
Digitization and new types of data transformed the sports business. The industry underwent significant changes due to new technologies, statistical modeling, and data analytics, providing sports organizations with a competitive edge. The benefits of data analytics in sport included infrastructure, operational, organizational, managerial, and strategic advantages. However, the focus on collecting more data led to deep data silos, making it challenging to capitalize on the data's value for learning and improvement.
The solution developed was a cloud-based analytics tool with a no-code or low-code interface. It collated data across multiple silos, delivering unique insights into performance through proprietary machine learning and artificial intelligence technology. This solution saved time, reduced costs and resources, and provided an enhanced user experience with meaningful reporting.
The target audience included governing bodies, franchises, and elite sports organizations.
A commercial feasibility study was completed before applying for commercialization funds. The technology received positive feedback and endorsements from various Irish, UK, and international organizations. Extensive market validation involved numerous interviews, trial partners, and commercial partners. Trial partners included Sport Ireland, Sport Wales, Swim Ireland, Queens Park Rangers FC, Revolution Soccer FC, and the IRFU, with commercial partners being Redback Biotech and VXsport.
The value proposition was clear: sport scientists used the platform to reduce time, improve efficiencies, and increase intelligence, addressing the issue of sports organizations seeking to enhance performance and extract value from their data in the absence of a suitable environment.
Digitization and new types of data transformed the sports business. The industry underwent significant changes due to new technologies, statistical modeling, and data analytics, providing sports organizations with a competitive edge. The benefits of data analytics in sport included infrastructure, operational, organizational, managerial, and strategic advantages. However, the focus on collecting more data led to deep data silos, making it challenging to capitalize on the data's value for learning and improvement.
The solution developed was a cloud-based analytics tool with a no-code or low-code interface. It collated data across multiple silos, delivering unique insights into performance through proprietary machine learning and artificial intelligence technology. This solution saved time, reduced costs and resources, and provided an enhanced user experience with meaningful reporting.
The target audience included governing bodies, franchises, and elite sports organizations.
A commercial feasibility study was completed before applying for commercialization funds. The technology received positive feedback and endorsements from various Irish, UK, and international organizations. Extensive market validation involved numerous interviews, trial partners, and commercial partners. Trial partners included Sport Ireland, Sport Wales, Swim Ireland, Queens Park Rangers FC, Revolution Soccer FC, and the IRFU, with commercial partners being Redback Biotech and VXsport.
The value proposition was clear: sport scientists used the platform to reduce time, improve efficiencies, and increase intelligence, addressing the issue of sports organizations seeking to enhance performance and extract value from their data in the absence of a suitable environment.
| Status | Finished |
|---|---|
| Effective start/end date | 2/04/23 → 8/04/25 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.