University of Twente Student Theses
Best Practices for Big Data Management in the Sports Industry
Postma, Mart (2023) Best Practices for Big Data Management in the Sports Industry.
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| Abstract: | This research paper examines best practices for Big Data Management in the sports industry. With the increasing usage of Big Data Analytics worldwide, sports organisations are now able to collect and analyse enormous amounts of data that can be used to gain valuable insights into topics interesting to sports organisations, such as business activities and athlete performance. However, effective management of this data requires specialised knowledge, skills and infrastructure for Information Technology. Through a semi-structured review of related literature, this paper identifies best practices for Big Data Management in the sports industry. To be specific, these best practices are related to Sports Information Management, Sports Analytics and data-driven decision-making. The paper also aims to identify the challenges that sports organisations have to deal with when implementing these best practices. Furthermore, recommendations are provided for addressing these challenges based on a developed framework to manage Big Data in sports organisations. The findings of this paper intend to serve as an explanatory framework for sports organisations to implement Big Data Management in the near future. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/96266 |
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