Using simulated experience to make sense of big data

Publication:
Using simulated experience to make sense of big data

dc.contributor.author	Hogarth, R. M.
dc.contributor.author	Soyer, Emre
dc.contributor.department	Business Administration
dc.contributor.ozuauthor	SOYER, Emre
dc.date.accessioned	2015-10-23T07:05:36Z
dc.date.available	2015-10-23T07:05:36Z
dc.date.issued	2015
dc.description	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstract	Simulated 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.identifier.endpage	54
dc.identifier.issn	1532-9194
dc.identifier.issue	2
dc.identifier.scopus	2-s2.0-84937906504
dc.identifier.startpage	49
dc.identifier.uri	http://hdl.handle.net/10679/953
dc.identifier.volume	56
dc.identifier.wos	000348635600010
dc.language.iso	eng	en_US
dc.peerreviewed	yes	en_US
dc.publicationstatus	published	en_US
dc.publisher	Massachusetts Institute of Technology	en_US
dc.relation.ispartof	MIT Sloan Management Review
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.keywords	Simulation methods	en_US
dc.title	Using simulated experience to make sense of big data	en_US
dc.type	Article	en_US
dspace.entity.type	Publication
relation.isOrgUnitOfPublication	3920f480-c8c2-457c-8c42-5e73823c300f
relation.isOrgUnitOfPublication.latestForDiscovery	3920f480-c8c2-457c-8c42-5e73823c300f

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