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[{"key": "dc.contributor.advisor", "value": "Sepp\u00e4nen, Ville", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Kokkinen, Johanna", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2019-02-04T07:46:02Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2019-02-04T07:46:02Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2019", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/62677", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Nykymaailmassa syntyy p\u00e4ivitt\u00e4in valtava m\u00e4\u00e4r\u00e4 big dataa, jota organisaatiot voivat hy\u00f6dynt\u00e4\u00e4 p\u00e4\u00e4t\u00f6ksenteossaan. Organisaatioiden toimintaymp\u00e4rist\u00f6 on jatkuvassa muutoksessa, joten p\u00e4\u00e4t\u00f6ksenteon reaaliaikaisuudella on suuri rooli organisaatioiden menestyksen kannalta. T\u00e4m\u00e4n systemaattisena kirjallisuuskatsauksena toteutetun tutkimuksen tarkoituksena oli selvitt\u00e4\u00e4 big datan hy\u00f6dynt\u00e4misen vaikutuksia organisaatioiden reaaliaikaiseen p\u00e4\u00e4t\u00f6ksentekoon ja tuoda esille, millaisia mahdollisuuksia se tarjoaa eri sovellusaloilla sek\u00e4 millaisia haasteita siihen liittyy. Ty\u00f6ss\u00e4 esitell\u00e4\u00e4n esimerkkisovelluksia liiketoiminnan, valtion ja yhteiskunnan sek\u00e4 urheilun parista. Tutkimuksen keskeisin tulos on, ett\u00e4 reaaliaikainen big data tukee p\u00e4\u00e4t\u00f6ksentekoa ja mahdollistaa organisaatioille muun muassa tehokkuuden, tuottavuuden, suorituskyvyn ja ketteryyden parantamisen sek\u00e4 uusien liiketoimintamahdollisuuksien l\u00f6yt\u00e4misen. Reaaliaikainen big data tuo mukanaan kuitenkin my\u00f6s haasteita liittyen muun muassa teknisiin ratkaisuihin, datan m\u00e4\u00e4r\u00e4\u00e4n, nopeuteen, monimuotoisuuteen ja luotettavuuteen, organisaatiokulttuurin muutokseen, yksityisyyteen sek\u00e4 eettisyyteen.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "In today's world, there is generated every day a huge amount of big data that organizations can utilize in their decision-making. The operating environment of organizations is constantly changing, so real-time decision-making plays a major role in organizational success. This systematic literature review attempted to investigate the impact of utilization of big data on the organization's real-time decision-making and to highlight its opportunities and challenges in different application areas. The work introduces exemplary applications from the areas of business, state and society, and sport. The most important results of this research are that real-time big data supports decision-making and enables organizations to improve their efficiency, productivity, performance and agility, as well as finding new business opportunities. The real-time big data also brings challenges, including technical solutions, data volume, velocity, variety and veracity, organizational culture change, privacy and ethics.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2019-02-04T07:46:02Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2019-02-04T07:46:02Z (GMT). No. of bitstreams: 0\n Previous issue date: 2019", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "38", "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": "data-analytiikka", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "reaaliaikainen p\u00e4\u00e4t\u00f6ksenteko", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "dataohjautuva p\u00e4\u00e4t\u00f6ksenteko", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Big datan reaaliaikainen hy\u00f6dynt\u00e4minen p\u00e4\u00e4t\u00f6ksenteossa", "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-201902041391", "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": "p\u00e4\u00e4t\u00f6ksenteko", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "big data", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "reaaliaikaisuus", "language": null, "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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