Big Data and Analytics in the Sports Industry.

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Bibliographic Details
Title: Big Data and Analytics in the Sports Industry.
Authors: Azcona Zamorano, Pablo1, Rebman Jr., Carl2, McMurtrey, Mark E.1
Source: Journal of Strategic Innovation & Sustainability. 2025, Vol. 20 Issue 3, p14-20. 7p.
Subjects: Big data, Data analytics, Athletic ability, Sports administration, Data science, Sports business, Decision making, Organizational goals
Abstract: In the present world dominated by technology, big data offers endless opportunities to the sports industry to update the teams' performance and meet business goals that would be otherwise unachievable. Hence, many institutions are investing heavily in data science and analytics to improve decision-making. This study aims to clarify the role of big data in the sports industry and demonstrate how it can optimize the athlete’s performance and benefit some business areas of sports management. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Strategic Innovation & Sustainability is the property of North American Business Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Strategic+Innovation+%26+Sustainability%22">Journal of Strategic Innovation & Sustainability</searchLink>. 2025, Vol. 20 Issue 3, p14-20. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analytics%22">Data analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Athletic+ability%22">Athletic ability</searchLink><br /><searchLink fieldCode="DE" term="%22Sports+administration%22">Sports administration</searchLink><br /><searchLink fieldCode="DE" term="%22Data+science%22">Data science</searchLink><br /><searchLink fieldCode="DE" term="%22Sports+business%22">Sports business</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Organizational+goals%22">Organizational goals</searchLink>
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  Data: In the present world dominated by technology, big data offers endless opportunities to the sports industry to update the teams' performance and meet business goals that would be otherwise unachievable. Hence, many institutions are investing heavily in data science and analytics to improve decision-making. This study aims to clarify the role of big data in the sports industry and demonstrate how it can optimize the athlete’s performance and benefit some business areas of sports management. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Strategic Innovation & Sustainability is the property of North American Business Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.33423/jsis.v20i3.7760
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 14
    Subjects:
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Data analytics
        Type: general
      – SubjectFull: Athletic ability
        Type: general
      – SubjectFull: Sports administration
        Type: general
      – SubjectFull: Data science
        Type: general
      – SubjectFull: Sports business
        Type: general
      – SubjectFull: Decision making
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      – SubjectFull: Organizational goals
        Type: general
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              M: 07
              Text: 2025
              Type: published
              Y: 2025
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