Overview

Big Data collected by customer-facing organisations - such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart meter readings - account for most of the data collected about citizens today. This book provides the first consolidated statement of the enormous potential of consumer data research.

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9781787353893

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'An excellent guide to leveraging the value of academic research on valid data. Partnerships based around consumer data should be encouraged and supported by all and their outputs used to better the way we manage the world we live in.' Bill Grimsey, retailer and author of The Vanishing Highstreet 'An insightful, state-of-the-art guide into the social and commercial value of applying geographical thinking to the study of consumer data.' Professor Richard Harris, University of Bristol 'The use of data from everyday consumer transactions is a potential game-changer for understanding economic and social patterns and trends. This is an excellent overview of the field.' Dr. Tom Smith, Managing Director, Office for National Statistics Data Science Campus

Author Information

Paul Longley is Professor of Geographic Information Science at UCL where he also directs the ESRC Consumer Data Research Centre. His research interests are focused around socioeconomic applications of GIScience, in geo-temporal demographics, retailing, genealogy and urban modelling, latterly often using Big Data analytics. Alex Singleton is Professor of Geographic Information Science at the University of Liverpool and Deputy Director of the ESRC Consumer Data Research Centre. His research explores how the complexities of individual behaviours manifest spatially and the ways in which they can be represented and understood though a framework of geographic data science. James Cheshire is a Senior Lecturer in Quantitative Human Geography at UCL and Deputy Director of the ESRC Consumer Data Research Centre. His research focuses on the analysis and visualisation of new forms of geographically referenced population data for social science

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