Big Data Development: A Tool for Interpreting Institutional Impact


Autoria(s): Reichelt, Michelle Anne
Contribuinte(s)

Luke, Jessica J

Data(s)

14/07/2016

14/07/2016

01/06/2016

Resumo

Thesis (Master's)--University of Washington, 2016-06

The 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.

Formato

application/pdf

Identificador

Reichelt_washington_0250O_15926.pdf

http://hdl.handle.net/1773/36381

Idioma(s)

en_US

Palavras-Chave #Big Data #Development #Evaluation #Fundraising #Impact #Museum Value #Museum studies #Public administration #Public policy #museology
Tipo

Thesis