Letting Your Data Imagination Run Away with You. Promises and Perspectives of a Public Sector Data Analytics Implementation

David Jamieson*, Rob Wilson, Victoria Pagan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

Public service organizations are encouraged to believe that data analytics can transform services and organizations. Spurred on by these claims – or promises - this paper examines the implementation of a public sector-focused Office of Data Analytics in the Northeast of England. We explore the promises of data analytics and what basis these might have. Comprising of a single case study, we apply a critical lens – informed by Beer’s (2008) data gaze - to the implementation and find that there were challenges to the application of data analysis within complex societal environments. This challenge was juxtaposed with an unnerving belief – stemming from public policy and strategy - in the promises that adopting and implementing data analytics and a data platform can bring to the public sector. As a result, we present an assessment of a public sector data platform implementation where realities emerge that dismiss the promises and imaginaries that are often promoted – whilst highlighting previously cautioned “myths” and “impossibilities”.

Original languageEnglish
Title of host publicationElectronic Government
Subtitle of host publication21st IFIP WG 8.5 International Conference, EGOV 2022, Linköping, Sweden, September 6–8, 2022, Proceedings
EditorsMarijn Janssen, Csaba Csáki, Ida Lindgren, Ulf Melin, Euripidis Loukis, Gabriela Viale Pereira, Manuel Pedro Rodríguez Bolívar, Efthimios Tambouris
Place of PublicationCham
PublisherSpringer
Pages419-431
Number of pages13
ISBN (Electronic)9783031150869
ISBN (Print)9783031150852
DOIs
Publication statusPublished - 30 Aug 2022
Event21st IFIP WG 8.5 International Conference on Electronic Government, EGOV 2022 - Linköping, Sweden
Duration: 6 Sept 20228 Sept 2022

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13391
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st IFIP WG 8.5 International Conference on Electronic Government, EGOV 2022
Country/TerritorySweden
CityLinköping
Period6/09/228/09/22

Keywords

  • Big data
  • Data analytics
  • Data imaginary
  • Digital government

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