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Does Big Data Matter to Value Creation?:오라클(Oracle) 솔루션을 중심으로

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dc.contributor.author김용희-
dc.contributor.author유응준-
dc.contributor.author강미선-
dc.contributor.author최정일-
dc.date.available2018-05-10T07:05:53Z-
dc.date.created2018-04-17-
dc.date.issued2012-
dc.identifier.issn1975-4256-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/13169-
dc.description.abstractIt is essential that firm makes a rational and scientific decision making and creates a news value for the future direction. To do so, many firms attempt to collect meaningful data and find the filtered and refined implication for the better customer relationship and the active market drive through the various analytic tools. Among the possible IT solutions, utilization of ‘Big Data’ is becoming more attractive and necessary in such a way that it would help firms obtain the systemized and demanding information and facilitate their decision making process to keep up with the market needs. In this paper, it introduces the concepts and development of ‘Big Data’ recognized as a IT resource and solution under the rapidly changing firm environment. This study also presents the several firm cases using Big Data’ and the Oracle’s total data management and analytic solutions in order to support the application of ‘Big Data’. Finally this paper provides a holistic viewpoint and realistic approach on use of ‘Big Data’ to create a new value.-
dc.publisher한국IT서비스학회-
dc.relation.isPartOf한국IT서비스학회지-
dc.subjectAnalysis-
dc.subjectBig Data-
dc.subjectCustomer Relationship Management-
dc.subjectPattern-
dc.subjectValue Chain-
dc.titleDoes Big Data Matter to Value Creation?:오라클(Oracle) 솔루션을 중심으로-
dc.typeArticle-
dc.type.rimsART-
dc.identifier.bibliographicCitation한국IT서비스학회지, v.11, no.3, pp.39 - 48-
dc.identifier.kciidART001699696-
dc.description.journalClass3-
dc.citation.endPage48-
dc.citation.number3-
dc.citation.startPage39-
dc.citation.title한국IT서비스학회지-
dc.citation.volume11-
dc.contributor.affiliatedAuthor최정일-
dc.subject.keywordAuthorAnalysis-
dc.subject.keywordAuthorBig Data-
dc.subject.keywordAuthorCustomer Relationship Management-
dc.subject.keywordAuthorPattern-
dc.subject.keywordAuthorValue Chain-
dc.description.journalRegisteredClassother-
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