Alice Daish
2017-02-21
<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>
<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>
<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>
<ul>
<li><em>Valuing of Data </em></li>
<li><em>Data Science at the British Museum </em></li>
<li><em>Transformation advice</em></li>
<li><em>Vision for the future</em></li>
</ul>
<p><em>By valuing data and using data science processes, any organisation can become data-driven.</em></p>
Presented at London Business Analytics Group https://www.meetup.com/London-Business-Analytics-Group/
https://doi.org/10.5281/zenodo.321812
oai:zenodo.org:321812
Zenodo
https://doi.org/
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial 4.0 International
https://creativecommons.org/licenses/by-nc/4.0/legalcode
IDCC17, 12th International Digitial Curation Conference, Edinburgh, 21 February 2017
data science
data driven
museums
cultural heritage
R
Data-Driven Museums
info:eu-repo/semantics/lecture