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Guest editorial

Guest editorial The value, risks and myths of public sector data analytics. Technological advancements, especially in the past decade, have transformed how business, social and governmental activities are undertaken. The field of data analytics has taken off during this period, with it gaining popularity and attracting much interest from both practitioners and researchers. Despite receiving much attention across public and commercial domains, the academic focus on data analytics has largely been dominated by research into the business, rather than on public values which can be extracted through it. Recent events such, data-driven elections, data in political campaigns and electorate profiling have all highlighted both the potential, yet many unanswered questions of public sector data analytics. Amidst other factors, the Covid-19 pandemic has also drawn attention to the pivotal role of data analytics, data dissemination, and data sharing between public and private sector organisations and agencies for timely, adequate and comprehensive responses to the pandemic situation. During such unprecedented and disruptive times, where lines are continuously being blurred across sectors, policymakers require much-needed insights into how data may assist in overcoming the social and economic challenges presented by the current situation. As such, this special issue aimed at tackling some of these http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transforming Government: People, Process and Policy Emerald Publishing

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1750-6166
eISSN
1750-6166
DOI
10.1108/tg-10-2020-197
Publisher site
See Article on Publisher Site

Abstract

The value, risks and myths of public sector data analytics. Technological advancements, especially in the past decade, have transformed how business, social and governmental activities are undertaken. The field of data analytics has taken off during this period, with it gaining popularity and attracting much interest from both practitioners and researchers. Despite receiving much attention across public and commercial domains, the academic focus on data analytics has largely been dominated by research into the business, rather than on public values which can be extracted through it. Recent events such, data-driven elections, data in political campaigns and electorate profiling have all highlighted both the potential, yet many unanswered questions of public sector data analytics. Amidst other factors, the Covid-19 pandemic has also drawn attention to the pivotal role of data analytics, data dissemination, and data sharing between public and private sector organisations and agencies for timely, adequate and comprehensive responses to the pandemic situation. During such unprecedented and disruptive times, where lines are continuously being blurred across sectors, policymakers require much-needed insights into how data may assist in overcoming the social and economic challenges presented by the current situation. As such, this special issue aimed at tackling some of these

Journal

Transforming Government: People, Process and PolicyEmerald Publishing

Published: Sep 30, 2020

References