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Transforming a museum to be data-driven (using R)

Alice Daish


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  <dc:creator>Alice Daish</dc:creator>
  <dc:date>2017-03-15</dc:date>
  <dc:description>How do you transform a traditionally un-data-orientated organisation into being data-driven armed with data science processes and plenty of enthusiasm?

With the exponential growth of data, more and more organisations are demanding to become data-driven. Seeking value from their data, big data and data science initiatives; jobs and skill sets have risen up the organisations agenda. The first data scientist at a museum shares her experience and learning on the journey to transform the British Museum to be data-driven by 2018.

How is one of the most popular museums in the world, with 6.8 million annual visitors, using data science to achieve a data-driven transition?


	Valuing of Data 
	Data Science at the British Museum 
	Transformation advice
	Vision for the future


By valuing data and using data science processes, any organisation can become data-driven.</dc:description>
  <dc:identifier>https://zenodo.org/record/437150</dc:identifier>
  <dc:identifier>10.5281/zenodo.437150</dc:identifier>
  <dc:identifier>oai:zenodo.org:437150</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by-nc/4.0/legalcode</dc:rights>
  <dc:subject>data science</dc:subject>
  <dc:subject>data driven</dc:subject>
  <dc:subject>cultural heritage</dc:subject>
  <dc:subject>museum</dc:subject>
  <dc:subject>R</dc:subject>
  <dc:subject>rstats</dc:subject>
  <dc:title>Transforming a museum to be data-driven (using R)</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
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