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No conference would be what it is without the support of those speaking, and EARL is no exception. Our speakers come from around the world to present their ideas and approaches. They represent companies of all sizes and give their time to share their knowledge and experience with attendees.

Alice Daish | British

Transforming a Museum to be data-driven using R

With the exponential growth of data, more and more businesses are demanding to become data-driven. Seeking value from their data; big data and data science initiatives, jobs and skill sets has risen up the business agenda. R being a data scientist's best friend, plays an important role in this transformation. But how do you transform a traditionally un-data orientated business into being data-driven armed with R, data science processes and plenty of enthusiasm?

The first data scientist at a museum shares her experience on the journey to transform the 250 year old 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 R to achieve a data-driven transition?

  • Data wrangling
  • Exploring data to make informed decisions
  • Winning stakeholders support with data visualisations and dashboard
  • Predictive modelling
  • Future uses including internet of things, machine learning etc.

Using R and data science any organisation can become data driven. With data and analytical skills demand higher than supply, more businesses need to know that R is part of the solution and that R is a great language to learn for individuals wanting to get into data science.