Massadata urheiluanalytiikan apuna

Tämä kandidaatin tutkielma tutkii massadatan hyödyntämistä urheiluanalytiikassa. Vaikka massadata on jo yleistynyt käsite, sen hyödyntämismahdollisuudet urheiluanalytiikassa ovat vielä vähäisesti raportoitu aihe. Lähivuosina datalähtöisen päätöksenteon hyödyntäminen on kasvanut ammattiurheilun toimi...

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Main Author: Vielma, Severi
Other Authors: Informaatioteknologian tiedekunta, Informaatioteknologia, University of Jyväskylä, Jyväskylän yliopisto
Format: Bachelor's thesis
Language:fin
Published: 2017
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/56466
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author Vielma, Severi
author2 Informaatioteknologian tiedekunta Informaatioteknologia University of Jyväskylä Jyväskylän yliopisto
author_facet Vielma, Severi Informaatioteknologian tiedekunta Informaatioteknologia University of Jyväskylä Jyväskylän yliopisto Vielma, Severi Informaatioteknologian tiedekunta Informaatioteknologia University of Jyväskylä Jyväskylän yliopisto
author_sort Vielma, Severi
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description Tämä kandidaatin tutkielma tutkii massadatan hyödyntämistä urheiluanalytiikassa. Vaikka massadata on jo yleistynyt käsite, sen hyödyntämismahdollisuudet urheiluanalytiikassa ovat vielä vähäisesti raportoitu aihe. Lähivuosina datalähtöisen päätöksenteon hyödyntäminen on kasvanut ammattiurheilun toimialalla ja massadata tarjoaa urheiluorganisaatioille uusia mahdollisuuksia päätöksentekoon liittyen. Tämä tutkielma pyrkii vastaamaan siihen, miten massadataa voitaisiin hyödyntää urheiluanalytiikassa. Tutkielman toteutustapa on tieteellinen kirjallisuuskatsaus. Tulokseksi tutkielmassa saatiin, massadataa voitavan hyödyntää urheiluanalytiikassa monilla eri tavoilla, jotka liittyvät pelaajien ja otteluiden suoritusten analytiikkaan, urheiluliiketoiminnan analytiikkaan sekä pelaajien loukkaantumisten ehkäisemisen analytiikkaan. This bachelor’s thesis aims to discover ways big data can be utilized in sports analytics. Regardless of big data being a talking point, it’s fairly little reported topic in a sports analytics context. In the recent years data-driven decision mak-ing has become more common approach in sport organizations and big data enables new possibilities. This thesis aims to find out different ways big data can be utilized in sports analytics. The thesis has been carried out as a literature review. As a result the study found out that big data can be utilized in sports analytics in a many different ways that include analytics of players and team, sports business’ analytics and analytics of players’ injury prevention.
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spellingShingle Vielma, Severi Massadata urheiluanalytiikan apuna massadata urheiluanalytiikka analytiikka Tietojärjestelmätiede Information Systems Science
title Massadata urheiluanalytiikan apuna
title_full Massadata urheiluanalytiikan apuna
title_fullStr Massadata urheiluanalytiikan apuna Massadata urheiluanalytiikan apuna
title_full_unstemmed Massadata urheiluanalytiikan apuna Massadata urheiluanalytiikan apuna
title_short Massadata urheiluanalytiikan apuna
title_sort massadata urheiluanalytiikan apuna
title_txtP Massadata urheiluanalytiikan apuna
topic massadata urheiluanalytiikka analytiikka Tietojärjestelmätiede Information Systems Science
topic_facet Information Systems Science Tietojärjestelmätiede analytiikka massadata urheiluanalytiikka
url https://jyx.jyu.fi/handle/123456789/56466 http://www.urn.fi/URN:NBN:fi:jyu-201712204822
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