As museums continually work to understand their audiences better, how might data about visitor behaviors and preferences become an integral part of their planning process? What does it mean to make decisions informed by data? While data can help us optimize our financial performance, can it be used to improve how visitors learn and experience the museum? This session argues for using data to help learn from audience behavior and preferences to provide better and more personalized museum experiences.

Speaker(s):
Colleen Dilenschneider, Kari Alldredge, Kaywin Feldman, Robert Stein, Sebastian Chan


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