Sportske aplikacije temeljene na tehnologijama velikih podataka

master's thesis

• Title (english): Sports applications based on big data technologies
• Author: Dario Žvorc
• Mentor: Mirjana Pejić Bach (mentor)
• Committee member: Mirjana Pejić Bach (predsjednik povjerenstva)
• Committee member: Katarina Ćurko (član povjerenstva)
• Committee member: Nikola Vlahović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2023-09-30, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

U radu se istražuje glavni izazovi implementacije velikih podataka u sportu kao i uloga analize velikih podataka u kontekstu sporta, s posebnim naglaskom na unapređenje sportskih performansi i strategija, prevenciju ozljeda te regrutaciju sportaša. Rad pruža dublji uvid u specifičnosti korištenja velikih podataka u sportskoj analitici i analizira ključne uloge koje ti podaci imaju u sportu. Također, detaljno se pregledavaju odabrane sportske kompanije, istražujući njihove karakteristike, prednosti i nedostatke te provodeći SWOT analizu. Analizom odabranih kompanija definiraju se ključna obilježja kvalitetnih sportskih aplikacija. Na kraju, zaključak sumira glavne rezultate istraživanja i naglašava važnost analize velikih podataka u sportskom sektoru.

Abstract (english)

The paper explores the main challenges of implementing big data in sports and the role of big data analysis in the context of sports, with a special emphasis on improving athletic performance and strategies, injury prevention, and athlete recruitment. The paper provides a deeper insight into the specifics of using big data in sports analytics and analyzes the key roles that this data plays in sports. Additionally, selected sports companies are thoroughly reviewed, examining their characteristics, advantages, and disadvantages, and conducting a SWOT analysis. The analysis of the selected companies defines the key features of high-quality sports applications. In conclusion, the paper summarizes the main research results and highlights the importance of big data analysis in the sports sector.

• Keywords: veliki podaci; sportska analitika; sportske aplikacije; sport
• Keywords (english): Big data; sports analytics; sports applications; sports
• Language: croatian
• URN:NBN: urn:nbn:hr:148:698865
• Study programme: Title: Business Economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: sveučilišni magistar ekonomije/sveučilišna magistra ekonomije (sveučilišni magistar ekonomije/sveučilišna magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-10-04 09:12:48