Big Data Development: A Tool for Interpreting Institutional Impact

dc.contributor.advisorLuke, Jessica J
dc.contributor.authorReichelt, Michelle Anne
dc.date.accessioned2016-07-14T16:33:06Z
dc.date.available2016-07-14T16:33:06Z
dc.date.issued2016-07-14
dc.date.submitted2016-06
dc.descriptionThesis (Master's)--University of Washington, 2016-06
dc.description.abstractThe purpose of this research study is to understand how immediate and ongoing access to Big Data analytics, focused on museum visitors, influences the strategies used by development departments to communicate institutional value and impact. Through in-depth interviews, development professionals at the Dallas Museum of Art, the Grace Museum, and the Minneapolis Institute of Art, provided insight on the effect of Big Data on language and metrics, donor communication, and the donor relationship. Study results suggest that Big Data is providing development staff the means to collect behavioral data and interpret the engagement of visitors. Donor cultivation efforts are using this engagement data to target visitors more than ever before, through communications that focus on developing a lasting relationship rather than focusing on donor solicitations. The following results offer the field a baseline understanding of the impacts of Big Data while providing opportunities to explore further applications and understand long-term impact.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherReichelt_washington_0250O_15926.pdf
dc.identifier.urihttp://hdl.handle.net/1773/36381
dc.language.isoen_US
dc.subjectBig Data
dc.subjectDevelopment
dc.subjectEvaluation
dc.subjectFundraising
dc.subjectImpact
dc.subjectMuseum Value
dc.subject.otherMuseum studies
dc.subject.otherPublic administration
dc.subject.otherPublic policy
dc.subject.othermuseology
dc.titleBig Data Development: A Tool for Interpreting Institutional Impact
dc.typeThesis

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