Jul 2026· International Journal of Business Intelligence Research· Vol 17, pp. 1-18· 0 citations· 13 references
Abstract
Data-driven government agencies frequently rely on using analytics (descriptive, predictive, prescriptive) together with high-quality data. A common benefit of being a data-driven agency is the ability to make informed decisions. Previous research has provided findings from case studies and small sample surveys that mix different types of organizations, e.g., municipalities and government agencies. Hence, it is difficult to generalize for an entire segment, e.g., government agencies, on what they do in practice to become more data driven. This paper aims to investigate what government agencies in Sweden do in practice to become more data driven. Data was collected from 137 government agencies via a web-based questionnaire, and analyzed with respect to current practices, systematicity, and strategies. The findings are that most government agencies are not characterized as data-driven, lack systematicity in using analyzed data in decision-making, and mostly develop strategies for technical platforms and data.
Abstract Academics and practitioners recognize the importance of data to achieve critical public value outcomes: more effective services, more efficient use of resources, more equitably distributed benefits, and increased transparency and accountability of government action. Scholars are increasingly trying to understa...
Fernando Fernandez-Monge, Quinton Mayne, J. de Jong· Data & Policy· 0 citations
Abstract
Accountability challenges persist among government agencies in Oyo State of Nigeria and erode
public trust, yet the potential role of data analytics towards addressing these deficits remains an
underexplored frontier. This study explores how data analytics-data generation, processing,
analysis/interpretati...
Mofiyinfoluwa O. Adepoju· Journal of Accounting and Fi...· 0 citations
Recommendations include formulating Big Data governance policies, establishing governance structures, developing standard operating procedures, implementing periodic monitoring and evaluation, and strengthening stakeholder engagement and communication to support structured, integrated, and accountable big data governan...
Ridha Asih, F. Samopa· Journal of social research· 0 citations
Abstract The use of administrative data to generate evidence that influences policy and operational decisions is increasing. This article examines the role of the Local Government Management Agency (LGMA) in strengthening the capacity of the Irish local government sector to generate and apply data-driven evidence in po...
Predictive analytics is the process of using past and current data to predict what might happen in the future and to help
make decisions. This approach has become a part of e-governance systems all around the world. For countries that are
still developing predictive analytics provides a way to skip over time-consuming...
A. Gupta· International journal of res...· 0 citations
This study examined the influence of data monitoring and policy classification on user behaviour
in public tertiary institutions in Rivers State, Nigeria, and assessed the moderating role of
regulatory oversight on the overall relationship between data classification practices and security
compliance. The study was...
C. Obara· RESEARCH JOURNAL OF MASS COM...· 0 citations
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