Big data in the public sector: Uncertainties and readiness
Citations Over TimeTop 1% of 2016 papers
Abstract
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.
Related Papers
- Big Data Mining and Semantic Technologies: Challenges and Opportunities(2015)
- Sketch of Big Data Real-Time Analytics Model(2015)
- → Survey on Big Data Analytics(2017)5 cited
- → A Study on Big Data Analytics Tools(2023)2 cited
- → Deciphering Big Data Research Themes(2018)