Factors influencing Big Data governance in enhanced service delivery in South African public sector

Abstract

Background: Public sectors generate large data volumes, necessitating improved data management and governance. Economic, political, and technological challenges hinder data management, leading to inefficiencies in service delivery. In South Africa, service delivery problems are exacerbated by a lack of accountability, weak leadership, poor procurement practices, and ineffective human resource management. Despite investments in information communication technology (ICT), data management challenges persist, especially with the rise of semi-structured and unstructured data. Public sectors must treat data as a strategic asset for governance, ensuring timely, reliable, and organised data to meet citizens’ needs.

Objectives: This study aimed to identify factors influencing Big Data governance to enhance service delivery in the Limpopo Vhembe municipality, South Africa.

Method: A mixed-method approach was used, including a closed-ended questionnaire and qualitative validation. Simple random sampling targeted information technology (IT) professionals and data-related personnel. Descriptive statistics analysed respondent demographics and situational variables.

Results: Data quality management, such as data quality principles, analysis, planning, quality assurance, and control, were found to be critical for effective Big Data governance. These elements help increase trust in data, improve productivity, reduce costs, ensure compliance, and enhance decision-making and innovation, ultimately enabling citizen-centric services.

Conclusion: This study reaffirmed the potential of enhancing decision-making in Big Data governance by uncovering additional insights and implementing proactive strategies to address present and near-future opportunities and challenges.

Contribution: The study contributes to the field by addressing the gap in existing Big Data governance environment within the public sector.