Cluster sports & technology
AI & Data
Semester programme:Business Intelligence & Data
Research group:Sustainable Data & AI Application
Project group members:David
Maxim
Kim
Mohamad
Rafal
Wouter
Project description
In what ways can the process of data collection and reporting during ELIS pitch stop event be improved to enhance efficiency, reliability, and scalability, while safeguarding user-friendliness for experts and SMEs?
Context
The project is situated within Cluster Sports & Technology, an innovation cluster located in the Brainport region in the south of the Netherlands, one of Europe’s leading high-tech and open-innovation ecosystems. The cluster operates at the intersection of sports, technology, health, society, and business, with the mission to contribute to a vital and sportive society while generating both societal and economic impact.
Within this context, Cluster Sports & Technology develops and executes innovation projects, connects stakeholders across sectors, and supports organisations in turning ideas into scalable value. A key activity is the organisation of innovation support programs such as the ELIS Innovation Cycle and Pitch Stop events, where SMEs and startups present their business and innovation concepts to experts from different domains (e.g. technology, finance, business, and data).
The core domain of this project is process digitalisation and information management within an innovation support environment. During Pitch Stop events, expert feedback and assessments are currently captured on paper and manually transferred to Excel and PDF reports. This process is time-consuming, error-prone, and limits data reuse, benchmarking, and scalability.
Results
- Digitalised Pitch Stop process
- Centralised data storage and reporting structure
- Benchmarking and longitudinal analysis capability
- Governance and architecture insights