Big data ja yksityisyys teleoperaattiorialalla

Teleoperaattorien tuottamien verkkoyhteyksien kautta kulkevan tietoliikenteen määrä on kasvussa johtuentietoliikenteen saatavuuteennojaavistadigitaalisista palveluista, kutentelevision ja musiikin suoratoistopalveluiden käytön kasvusta. Teleoperaattorit voivat hyötyäliikenteen kasvun...

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Main Author: Anttila, Deniz
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:fin
Published: 2019
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/64880
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author Anttila, Deniz
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Anttila, Deniz Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Anttila, Deniz Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Anttila, Deniz
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description Teleoperaattorien tuottamien verkkoyhteyksien kautta kulkevan tietoliikenteen määrä on kasvussa johtuentietoliikenteen saatavuuteennojaavistadigitaalisista palveluista, kutentelevision ja musiikin suoratoistopalveluiden käytön kasvusta. Teleoperaattorit voivat hyötyäliikenteen kasvun määrästä, silläoperaattoritovat ainutlaatuisessa asemassa hyödyntämään asiakkaidensa tuottamaa dataa. Big data teknologiankäyttö tarjoaa useaa kaupallista hyötyä teleoperaattoreille,kuten asiakasvaihtuvuuden minimointi, tietolähteitä parempien strategisten päätösten tekoon,sekä parempaa mahdollisuuttapalveluidensa laadun tarkkailuun. Asiakkaiden tuottaman datan hyödyntäminen voi olla teknisesti hankalaa, mutta voi myöstuottaa asiakkaiden keskuudessa mielipahaa. Asiakkaat saattavat kokeadatan hyödyntämisenloukkaavan yksityisyyttänsä, esimerkiksijaettaessatietojakolmannen osapuolen kanssa.Tämä saattaa johtaa asiakkaiden katoon tietoliikennedataa hyödyntävistä teleoperaattoreista.Tämän pro gradu –tutkielmantavoitteena on tutkiahyötyjä ja haittoja koskien teleoperaattoreidentrendiä käyttäätietoliikenteestä poimittuadataakaupallisesti hyödyksibig data teknologian avulla. Tutkielman teoreettinen osuus perustuukirjallisuuskatsaukseenaiheen aikaisemmista tutkimuksista. Tutkielman tuloksena on selkeämpi näkemys siitä, mitä teleoperaattorilta edellytetään asiakkaan yksityisyyden suhteen hyödynnettäessä big data teknologiaaja kuinka teleoperaattorien asiakaskunta kokee datan hyödyntämisen.Tutkielman empiirisessä osuudessa tarkastellaanvalittuateoriamallia kyselystäkertyneiden vastauksien avulla. Osuuden tuloksia verrataan muihin tutkimustuloksiin. While the telecommunications industry is digitalizing,the data traffic of broad-band and mobile subscriptions is growing due to new digital services like streaming media. The telecom industry is finding new ways of keeping the business of upgrading the network appropriately attractive. The issue is not limited to the technical side of handling the growing traffic in the network, but the business side on how to transform that traffic profitable for the companies who roll out the net-work. Communication service providers make sure that theservicesthey offer are generating revenue byimplementing big data technology. Service providers are in a unique position when handling data generated by their customers and big data offers number of commercial benefits as well as benefits in service quality. Using customer generated data for a profit can be an issue, since the customer might perceivethat his or her privacy is being violated when theirdata is shared to a third party.This might lead to increase of customer churn for theservice providers which use data gathered from their customers.This thesis paper aims to study the pros and cons of the trend of big data implementation in the telecom industry. The theoretical partfor this thesis will be performed by a literary review on former research in this field. Inthe end the results of this thesisdrive tocreate a clearer view of what is to be expected from a service provider on customer pri-vacy issues when implementing big dataand how do the customers perceive it.In the empirical part of this thesis a selected theoretical model willevaluated through gathered responses from an online survey. The results are then com-pared to other results in the field.
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spellingShingle Anttila, Deniz Big data ja yksityisyys teleoperaattiorialalla telecom Tietojärjestelmätiede Information Systems Science 601 big data data yksityisyys tietosuoja henkilötiedot privacy data privacy personal data
title Big data ja yksityisyys teleoperaattiorialalla
title_alt Big data ja yksityisyys teleoperaattiorialalla
title_full Big data ja yksityisyys teleoperaattiorialalla
title_fullStr Big data ja yksityisyys teleoperaattiorialalla Big data ja yksityisyys teleoperaattiorialalla
title_full_unstemmed Big data ja yksityisyys teleoperaattiorialalla Big data ja yksityisyys teleoperaattiorialalla
title_short Big data ja yksityisyys teleoperaattiorialalla
title_sort big data ja yksityisyys teleoperaattiorialalla
title_txtP Big data ja yksityisyys teleoperaattiorialalla
topic telecom Tietojärjestelmätiede Information Systems Science 601 big data data yksityisyys tietosuoja henkilötiedot privacy data privacy personal data
topic_facet 601 Information Systems Science Tietojärjestelmätiede big data data data privacy henkilötiedot personal data privacy telecom tietosuoja yksityisyys
url https://jyx.jyu.fi/handle/123456789/64880 http://www.urn.fi/URN:NBN:fi:jyu-201906273483
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