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Tuesday, June 28 • 1:18pm - 1:36pm
Transforming a museum to be data-driven using R

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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 have risen up the business agenda. R, being a data scientists' 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.

Moderators
avatar for Torben  Tvedebrink

Torben Tvedebrink

Associate Professor, Department of Mathematical Sciences, Aalborg University
I'm a statistician working in the area of forensic genetics. R is a core part of my teaching and research. I was the chair of the local organising committee for useR! 2015 in Aalborg, and part of the programme committee for useR! 2016 in Stanford.

Speakers
avatar for Alice  Daish

Alice Daish

Data Scientist, British Museum


Tuesday June 28, 2016 1:18pm - 1:36pm
McCaw Hall 326 Galvez Street Stanford, CA 94305-6105

Attendees (109)