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

Alice Daish

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  <identifier identifierType="DOI">10.5281/zenodo.437150</identifier>
      <creatorName>Alice Daish</creatorName>
      <affiliation>British Museum</affiliation>
    <title>Transforming a museum to be data-driven (using R)</title>
    <subject>data science</subject>
    <subject>data driven</subject>
    <subject>cultural heritage</subject>
    <date dateType="Issued">2017-03-15</date>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <rights rightsURI="">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;&lt;em&gt;How do you transform a traditionally un-data-orientated organisation into being data-driven armed with data science processes and plenty of enthusiasm?&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;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.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;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?&lt;/em&gt;&lt;/p&gt;

	&lt;li&gt;&lt;em&gt;Valuing of Data &lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;Data Science at the British Museum &lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;Transformation advice&lt;/em&gt;&lt;/li&gt;
	&lt;li&gt;&lt;em&gt;Vision for the future&lt;/em&gt;&lt;/li&gt;

&lt;p&gt;&lt;em&gt;By valuing data and using data science processes, any organisation can become data-driven.&lt;/em&gt;&lt;/p&gt;</description>
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