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

Alice Daish


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.437150", 
  "title": "Transforming a museum to be data-driven (using R)", 
  "issued": {
    "date-parts": [
      [
        2017, 
        3, 
        15
      ]
    ]
  }, 
  "abstract": "<p><em>How do you transform a traditionally un-data-orientated organisation into being data-driven armed with data science processes and plenty of enthusiasm?</em></p>\n\n<p><em>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.</em></p>\n\n<p><em>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?</em></p>\n\n<ul>\n\t<li><em>Valuing of Data </em></li>\n\t<li><em>Data Science at the British Museum </em></li>\n\t<li><em>Transformation advice</em></li>\n\t<li><em>Vision for the future</em></li>\n</ul>\n\n<p><em>By valuing data and using data science processes, any organisation can become data-driven.</em></p>", 
  "author": [
    {
      "family": "Alice Daish"
    }
  ], 
  "type": "speech", 
  "id": "437150"
}
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