Using simulated experience to make sense of big data

Hogarth, R. M.; Soyer, Emre

dc.contributor.author	Hogarth, R. M.
dc.contributor.author	Soyer, Emre
dc.date.accessioned	2015-10-23T07:05:36Z
dc.date.available	2015-10-23T07:05:36Z
dc.date.issued	2015
dc.identifier.issn	1532-9194
dc.identifier.uri	http://hdl.handle.net/10679/953
dc.identifier.uri	http://sloanreview.mit.edu/article/using-simulated-experience-to-make-sense-of-big-data/
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.language.iso	eng	en_US
dc.publisher	Massachusetts Institute of Technology	en_US
dc.relation.ispartof	MIT Sloan Management Review
dc.rights	restrictedAccess
dc.title	Using simulated experience to make sense of big data	en_US
dc.type	Article	en_US
dc.peerreviewed	yes	en_US
dc.publicationstatus	published	en_US
dc.contributor.department	Özyeğin University
dc.contributor.authorID	(ORCID & YÖK ID 124620) Soyer, Emre
dc.contributor.ozuauthor	Soyer, Emre
dc.identifier.volume	56
dc.identifier.issue	2
dc.identifier.startpage	49
dc.identifier.endpage	54
dc.identifier.wos	WOS:000348635600010
dc.subject.keywords	Simulation methods	en_US
dc.identifier.scopus	SCOPUS:2-s2.0-84937906504
dc.contributor.authorMale	1