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dc.contributor.authorHavle, Celal Alpay
dc.contributor.authorKılıç, Sena
dc.contributor.authorÜçler, Çağlar
dc.date.accessioned2024-02-02T08:33:49Z
dc.date.available2024-02-02T08:33:49Z
dc.date.issued2023
dc.identifier.isbn979-835031517-2
dc.identifier.urihttp://hdl.handle.net/10679/9124
dc.identifier.urihttps://ieeexplore.ieee.org/document/10332259
dc.description.abstractThe interaction of society is transforming towards connectivity and digital experiences. This results in big data which cannot be utilized and managed by companies in an efficient way. Despite various applications of the cloud and other advanced technologies, companies cannot distinguish essential information adequately. Consequently, there is a need for data modernization, but there are only partial modernization solutions and no incorporative model. Thus, a literature review was leveraged to isolate 15 related criteria, which are then grouped under 3 main dimensions (i) business, (ii) organizational and cultural, and (iii) technical, which then delivers a generic model suitable to guide and measure the transformation of companies.en_US
dc.description.sponsorshipÖzyeǧin University
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
dc.rightsrestrictedAccess
dc.titleModernizing data and cloud practices: A review and model proposal for future studiesen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-7729-2206 & YÖK ID 237676) Havle, Celal
dc.contributor.authorID(ORCID 0000-0002-0423-0394 & YÖK ID 277452) Kılıç, Sena
dc.contributor.authorID(ORCID 0000-0003-4209-7915 & YÖK ID 32713) Üçler, Çağlar
dc.contributor.ozuauthorHavle, Celal Alpay
dc.contributor.ozuauthorKılıç, Sena
dc.contributor.ozuauthorÜçler, Çağlar
dc.identifier.doi10.1109/ICE/ITMC58018.2023.10332259en_US
dc.subject.keywordsBig dataen_US
dc.subject.keywordsCloud modernizationen_US
dc.subject.keywordsData modernizationen_US
dc.subject.keywordsDigitalizationen_US
dc.identifier.scopusSCOPUS:2-s2.0-85181107486
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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