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

Alice Daish

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Alice Daish</dc:creator>
  <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:subject>data science</dc:subject>
  <dc:subject>data driven</dc:subject>
  <dc:subject>cultural heritage</dc:subject>
  <dc:title>Transforming a museum to be data-driven (using R)</dc:title>
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