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[{"key": "dc.contributor.advisor", "value": "Luoma, Eetu", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "P\u00f6ntinen, Ville", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2018-08-23T09:29:10Z", "language": "", "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2018-08-23T09:29:10Z", "language": "", "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2018", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/59320", "language": "", "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 kandidaatin tutkielmassa k\u00e4sitell\u00e4\u00e4n massadatan (engl. Big Data) hy\u00f6dynt\u00e4mist\u00e4 markkinoinnissa ja etenkin asiakastarpeiden kartoittamisessa. Tutkielma \r\nalkaa aiheen, massadata m\u00e4\u00e4ritt\u00e4misell\u00e4 sek\u00e4 massadata-analyysista. Tutkielman toisessa luvussa k\u00e4sitell\u00e4\u00e4n markkinointia ja sen tavoitteita. Luvussa k\u00e4sitell\u00e4\u00e4n my\u00f6s asiakastarpeita. Seuraavassa luvussa yhdistet\u00e4\u00e4n aihe ja n\u00e4k\u00f6kulma \r\nk\u00e4sittelem\u00e4ll\u00e4 massadatan hy\u00f6dynt\u00e4mist\u00e4 asiakastarpeiden kartoittamisessa. \r\nTutkimus toteutettiin kirjallisuuskatsauksena, jossa artikkelit valittiin vastaamaan tutkimuskysymykseen: Miten massadataa hy\u00f6dynnet\u00e4\u00e4n asiakastarpeiden \r\n(engl. Customer Needs) kartoittamiseen perustuvassa markkinoinnissa. Massadata on ymp\u00e4rist\u00f6ss\u00e4\u00e4n uutta dataa, jota on m\u00e4\u00e4ritelty eri tavoin. Massadatasta \r\nsaadut hy\u00f6dyt liike-el\u00e4m\u00e4lle ovat ennakkok\u00e4sitysten mukaan kiistattomat, ja \r\nt\u00e4m\u00e4 tutkielma tukee t\u00e4t\u00e4 k\u00e4sityst\u00e4. Tuloksia on tarkasteltu tutkielmassa kolmesta n\u00e4k\u00f6kulmasta: markkinoinnin viitekehyksest\u00e4, piilevien asiakastarpeiden \r\nesiin nostamisesta sek\u00e4 Internet-markkinoinnissa k\u00e4ytetyist\u00e4 massadatatyypeist\u00e4 ja niiden soveltamisesta.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "In this bachelor\u2019s thesis big data is concerned in benefiting in marketing and es-\r\npecially finding out customers needs. Thesis starts with determination of con-\r\ncept, big data, and big data analyzes. Second chapter is about theory of marketing \r\nand goals of it. In this chapter customer needs are also defined. Next chapter is\r\nabout mixing these two together, subject and perspective (customer needs), con-\r\ncerning benefits of big data in area of customer needs. Research was conducted \r\nas a literature review which source material was chosen to answer to the research \r\nquestion: How are customer needs developed by using big data in marketing \r\nbased on customer needs. Big data is a new data in its environment, which is \r\ndefined in different means. The benefits of big data for business are unques-\r\ntioned. The results of the thesis support this preliminary view. In this thesis the \r\nresults have been studied from three perspectives: the marketing framework, the \r\nemergence of hidden customer needs, and big data types and applications used \r\nin e-marketing.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Riitta Pitk\u00e4nen (rpitkane@jyu.fi) on 2018-08-23T09:29:10Z\r\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2018-08-23T09:29:10Z (GMT). No. of bitstreams: 0\r\n Previous issue date: 2018", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "35", "language": "", "element": "format", "qualifier": "extent", "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": "asiakastarpeet", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "piilev\u00e4t asiakastarpeet", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "e-markkinointi", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "massadata", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Massadatan hy\u00f6dynnett\u00e4vyys asiakastarpeiden kartoittamisessa", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "bachelor thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201808233921", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Bachelor's thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Kandidaatinty\u00f6", "language": "fi", "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.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_7a1f", "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": "bachelorThesis", "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": "tarpeet", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "asiakkaat", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "markkinointi", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "big data", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "data", "language": "", "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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