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        Consumer Data Research

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        Author(s)
        Cheshire, James
        Longley, Paul
        Singleton, Alex
        Language
        English
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        Abstract
        Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science. Consumer Big Data are distinct from conventional social science data not only in their volume, variety and velocity, but also in terms of their provenance and fitness for ever more research purposes. The contributors to this book, all from the Consumer Data Research Centre, provide a first consolidated statement of the enormous potential of consumer data research in the academic, commercial and government sectors – and a timely appraisal of the ways in which consumer data challenge scientific orthodoxies.
        URI
        http://library.oapen.org/handle/20.500.12657/29973
        Keywords
        big data; consumer data research; consumer; consumer behaviour; Demography; Ethnic group; Smart meter; Twitter
        DOI
        10.14324/111.9781787353886
        ISBN
        9781787353886, 9781787353893
        OCN
        1036985844
        Publisher
        UCL Press
        Publisher website
        https://www.uclpress.co.uk/
        Publication date and place
        2018
        Classification
        Data science and analysis: general
        History
        Consumerism
        Sociology
        Economics
        Human geography
        Pages
        196
        Public remark
        Relevant Wikipedia pages: Demography - https://en.wikipedia.org/wiki/Demography; Ethnic group - https://en.wikipedia.org/wiki/Ethnic_group; Smart meter - https://en.wikipedia.org/wiki/Smart_meter; Twitter - https://en.wikipedia.org/wiki/Twitter
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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