MEDIA RELEASE
14 February 2018
Mango Solutions are delighted to announce that loyalty programme pioneer and data science innovator, Edwina Dunn, will keynote at the 2018 Enterprise Applications of the R Language (EARL) Conference in London on 11-13 September.
Mango Solutions’ Chief Data Scientist, Richard Pugh, has said that it is a privilege to have Ms Dunn address Conference delegates.
“Edwina helped to change the data landscape on a global scale while at dunnhumby; Tesco’s Clubcard, My Kroger Plus and other loyalty programmes have paved the way for data-driven decision making in retail,” Mr Pugh said.
“Having Edwina at EARL this year is a win for delegates, who attend the Conference to find inspiration in their use of analytics and data science using the R Language.
“In this centenary year of the 1918 Suffrage act, Edwina’s participation is especially appropriate, as she is the founder of The Female Lead, a non-profit organization dedicated to giving women a platform to share their inspirational stories,” he said.
Ms Dunn is currently CEO at Starcount, a consumer insights company that combines the science of purchase and intent and brings the voice of the customer into the boardroom.
The EARL Conference is a cross-sector conference focusing on the commercial use of the R programming language with presentations from some of the world’s leading practitioners.
More information and tickets are available on the EARL Conference website: earlconf.com
END
For more information, please contact: Karis Bouher, Marketing Manager: marketing@mango-solutions.com or +44 (0)1249 705 450
var vglnk = { key: '949efb41171ac6ec1bf7f206d57e90b8' }; (function(d, t) {var s = d.createElement(t); s.type = 'text/javascript'; s.async = true;s.src = '//cdn.viglink.com/api/vglnk.js';var r = d.getElementsByTagName(t)[0]; r.parentNode.insertBefore(s, r); }(document, 'script'));R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...