Transforming a museum to be data-driven (using R)
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.
Files
LBAG 2017 - Data Driven Museum - British Museum - Alice Daish.pdf
Files
(3.2 MB)
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