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dc.contributor.authorHogarth, R. M.
dc.contributor.authorSoyer, Emre
dc.date.accessioned2015-10-23T07:05:36Z
dc.date.available2015-10-23T07:05:36Z
dc.date.issued2015
dc.identifier.issn1532-9194
dc.identifier.urihttp://hdl.handle.net/10679/953
dc.identifier.urihttp://sloanreview.mit.edu/article/using-simulated-experience-to-make-sense-of-big-data/
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractSimulated experience can help companies communicate data analysis results to decision makers. Analysts' conclusions have been found to be different from what decision makers understand. Meanwhile, complex statistical information have been found to be misleading at times.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.relation.ispartofMIT Sloan Management Review
dc.titleUsing simulated experience to make sense of big dataen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID124620
dc.contributor.ozuauthorSoyer, Emre
dc.identifier.volume56
dc.identifier.issue2
dc.identifier.startpage49
dc.identifier.endpage54
dc.identifier.wosWOS:000348635600010
dc.subject.keywordsSimulation methodsen_US
dc.identifier.scopusSCOPUS:2-s2.0-84937906504


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