fullrecord |
[{"key": "dc.contributor.advisor", "value": "Koskelainen, Tiina", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "M\u00e4kel\u00e4, Arttu", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2022-08-29T07:29:29Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2022-08-29T07:29:29Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2022", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/82863", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Digitaalisessa muodossa olevan datan m\u00e4\u00e4r\u00e4 on kasvanut r\u00e4j\u00e4hdysm\u00e4isesti\nviime vuosikymmenten aikana, ja organisaatiot toimialasta riippumatta pyrkiv\u00e4t\nl\u00f6yt\u00e4m\u00e4\u00e4n suurista datajoukoista p\u00e4\u00e4t\u00f6ksentekoa tukevaa merkityksellist\u00e4 informaatiota. Vakuutusalalla on erityisen suuri potentiaali massadatan hy\u00f6dynt\u00e4misess\u00e4 toimialan erityispiirteiden, kuten datapainotteisuuden vuoksi. Suuren potentiaalin rinnalla my\u00f6s hy\u00f6dynt\u00e4misess\u00e4 esiintyy my\u00f6s merkitt\u00e4vi\u00e4 haasteita.\nMassadatalle ominaisten piirteiden lis\u00e4ksi haasteita aiheuttaa informaation yksityisyyden s\u00e4\u00e4ntely, kuten Euroopan Unionin yleinen tietosuoja-asetus. T\u00e4m\u00e4n\ntutkielman tarkoitus on kartoittaa massadatan k\u00e4ytt\u00f6\u00e4, hy\u00f6dynt\u00e4misen potentiaalia sek\u00e4 k\u00e4yt\u00f6ss\u00e4 esiintyvi\u00e4 haasteita vakuutusalalla. Lis\u00e4ksi tutkielmassa selvitet\u00e4\u00e4n informaation yksityisyytt\u00e4 koskevan s\u00e4\u00e4ntelyn vaikutuksia datan k\u00e4ytt\u00f6\u00f6n vakuutusalalla. Kirjallisuuskatsauksen lis\u00e4ksi kysymyksiin pyrit\u00e4\u00e4n vastaamaan teemahaastatteluilla, joissa haastateltiin vakuutusalalla toimivia data-analytiikan asiantuntijoita. Haastattelujen pohjalta tunnistettiin massadatan hy\u00f6dynt\u00e4misen potentiaali ja nykytila vakuutusalalla, sek\u00e4 hy\u00f6dynt\u00e4misen keskeisimm\u00e4t haasteet. Lis\u00e4ksi tunnistettiin informaation yksityisyyteen liittyv\u00e4n s\u00e4\u00e4ntelyn keskeisimm\u00e4t vaikutukset. Massadatan potentiaali vakuutusalalla on suuri,\nmutta siihen kohdistetut odotukset eiv\u00e4t ole toistaiseksi realisoituneet. Keskeisimm\u00e4t hy\u00f6dynt\u00e4misen haasteet liittyv\u00e4t datan ominaisuuksiin, datan saatavuuteen sek\u00e4 resursseihin. Informaation yksityisyytt\u00e4 koskeva s\u00e4\u00e4ntely n\u00e4hd\u00e4\u00e4n tarpeellisena ja ajantasaisena nykyp\u00e4iv\u00e4n dataymp\u00e4rist\u00f6ss\u00e4. Aiemmasta kirjallisuudesta poiketen tutkielmassa tunnistettiin vakuutusalan erityispiirteeksi korostunut tarve datan k\u00e4sittelyn l\u00e4pin\u00e4kyvyydelle, sek\u00e4 havaittiin ett\u00e4 kolmansien osapuolten rajoitukset vaikeuttavat datan saantia enemm\u00e4n kuin informaation yksityisyyden s\u00e4\u00e4ntely.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "The quantity of digital data has been growing exponentially during the last decades, and organizations from various line of businesses are seeking to find meaningful insights from the large sets of data to help their decision making. Insurance industry has exceptionally high potential in the usage of Big Data based on the special characteristics of the industry. Along with the potential, the challenges are also significant. In addition to the challenges caused by the basic nature of Big Data, some of the challenges are caused by the regulation regarding on the\nprivacy of information, such as General Data Protection Regulation (GDPR). The goal of this thesis is to map out how the big data is used in the insurance industry, what is the potential of usage, and what are the main challenges of the usage. In addition, thesis strives to examine how the regulation regarding on the privacy of information influences the business of insurance companies. In addition to literature review, theme interview was conducted to interview experts of the topic. The current state of the Big Data usage on the insurance industry were clarified\nalongside with the fundamental challenges occurring in the utilization of Big Data. Also, the effects of the regulations regarding on the privacy of information were identified. The potential of the usage of Big Data is remarkable, but most of the expectations has not been met yet. The key challenges that were identified were related to properties and availability of Big Data, and resources needed in the utilization. The regulation of the privacy of information was perceived to be up-to-date and necessary in the data environment of today\u2019s insurance business.\nThe interviews revealed that insurance companies have a high need for the transparency of their data utilization, caused by the bad reputation of insurance business.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2022-08-29T07:29:29Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2022-08-29T07:29:29Z (GMT). No. of bitstreams: 0\n Previous issue date: 2022", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "64", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "data-analytiikka", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "informaation yksityisyys", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Massadata ja informaation yksityisyyden s\u00e4\u00e4ntely vakuutusalalla : haastattelututkimus", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202208294392", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.collaborator", "value": "finance", "language": "", "element": "contractresearch", "qualifier": "collaborator", "schema": "yvv"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "yvv.contractresearch.initiative", "value": "student", "language": "", "element": "contractresearch", "qualifier": "initiative", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "big data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "informaatio", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "vakuutusala", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "yksityisyys", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
|