Beer, David Gareth orcid.org/0000-0002-6926-4595 (2017) The data analytics industry and the promises of real-time knowing:perpetuating and deploying a rationality of speed. Journal of Cultural Economy. pp. 21-33. ISSN 1753-0369
Abstract
This article draws upon a sample of 34 data analytics providers in order to explore the rhetorical framing of the speediness of the data analytic solutions that they offer. General perceptions of cultural speed-up frame understandings of organisational life, against this backdrop data analytics are presented as a potential solution to the need to speed-up and keep-up with the competition. As a result, it is argued that notions of speedy analytics are central to the spread and intensification of data-led decision making, governance and ordering processes. The promises of real-time knowing are one means by which organisational speed and agility are seen to be achievable, the result is the pushing back of the limits of datafication. This article is concerned with the power of the data analytics industry and the powerful ways in which this industry presents and projects properties and promises onto data and data analytics. It suggests that this industry taps into, cultivates and then attempts to solve the wider rationality of a need for speed.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Informa UK Limited, trading as Taylor & Francis Group. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Sociology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Oct 2016 10:42 |
Last Modified: | 22 Jan 2025 00:07 |
Published Version: | https://doi.org/10.1080/17530350.2016.1230771 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1080/17530350.2016.1230771 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106268 |