Big data in the public sector: Uncertainties and readiness

• Published in: Information systems frontiers 2017-04, Vol.19 (2), p.267-283
• Main Authors: Klievink, Bram, Romijn, Bart-Jan, Cunningham, Scott, de Bruijn, Hans
• Format: Article
• Language: English
• Subjects: Analysis; Assessments; Big Data; Business and Management; Control; Data management; Decision making; Electronic government; Gain; Governments; Information systems; Information technology; IT in Business; Management of Computing and Information Systems; Operations Research/Decision Theory; Organizations; Public sector; Social networks; Studies; Systems Theory; Tasks; Uncertainty
• ISSN: 1387-3326; 1572-9419
• DOI: 10.1007/s10796-016-9686-2

Big data is being implemented with success in the private sector and science. Yet the public sector seems to be falling behind, despite the potential value of big data for government. Government organizations do recognize the opportunities of big data but seem uncertain about whether they are ready for the introduction of big data, and if they are adequately equipped to use big data. This paper addresses those uncertainties. It presents an assessment framework for evaluating public organizations’ big data readiness. Doing so demystifies the concept of big data, as it is expressed in terms of specific and measureable organizational characteristics. The framework was tested by applying it to organizations in the Dutch public sector. The results suggest that organizations may be technically capable of using big data, but they will not significantly gain from these activities if the applications do not fit their organizations and main statutory tasks. The framework proved helpful in pointing out areas where public sector organizations could improve, providing guidance on how government can become more big data ready in the future.