Faculty of Commerce, Law and Management (ETDs)

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Subject: search.filters.subject.Big data analytics

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    Exploring the big data maturity level of a metropolitan municipality in Gauteng Province, South Africa
    (University of the Witwatersrand, Johannesburg, 2024) Mathane, Tlou Phillemon; Mayayise, Thembekile
    A recent study by the World Bank highlights the importance of public sector organizations to embark on digital transformation. Public sector organizations that successfully undertake digital transformation journey serve their customers better; become more competitive; and improve their financial performance. Significantly, they also improve their digital maturity levels. Using a case study design, this study explored the big data maturity status quo of the Tshwane metropolitan municipality. Data maturity assessments are needful in the public sector to assist them in digital technology adoption. Conceptually, the study used the Resource View (RBV) theory to understand the extent to which this city optimizes big data as a strategic resource for decision-making. The study also used the Dynamic Capabilities Theory (DCT) to explore the extent to which big data analytics is leveraged to enhance capabilities of the city to improve service delivery. In this regard, the study focussed on five themes, viz: (a) organizational vision and strategy, (b) customer relations management, (c) data-driven- decision-making, (d) data governance, and (e) deployment of industry 4.0 best practices and/or systems. Following a qualitative design, the researcher collected data from 20 managers, using two data collection strategies. First, a focus group discussion was used to collect data from 8 managers at operational management level. A purposive sampling method was used. Secondly, structured questionnaires were administered to 12 managers, of which 6 were middle management level, and 6 were top management level incumbents. The study finds that there is no common understanding regarding the vision and strategy for digital transformation in the city. Big data analytics is not optimally used for purposes of innovation, and operational and strategic decision-making. This study contributes by uncovering some of the challenges faced by public sector organisations as far as using data to drive decision-making is concerned. In this regard, the study also tables some of the remedies and interventions that can be embarked upon to undermine some of the key teething challenges
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    Bridging Big Data Analytics skills gap in the financial services sector
    (University of the Witwatersrand, Johannesburg, 2024) Johnson, Reece; Godspower-Akpomiemie, Euphemia
    As the significance of big data analytics continues to escalate within the banking industry, there is a parallel surge in demand for adept professionals in this domain. Notably, one of the foremost challenges in the era of data is the scarcity of individuals possessing the requisite skill set to transform raw data into actionable insights that generate business value. Addressing this pressing concern, this study sets out to ascertain the technical and business-oriented data analytics skills crucial in the banking sector, pinpointing the most pivotal skills required both presently and in the forthcoming years. This qualitative research used collected data from banking institutions in South Africa and an academic institution via semi-structured interviews. A purposive sampling method was applied to select fourteen participants including executives and senior managers who have decision-making authority. A thematic data analysis was used as a lens to determine the critical skills required to effectively execute Big data and analytics in the banking industry. The findings revealed that critical technical, business, and interpersonal skills are in short supply among graduates and professionals in the South African banking industry. The study concludes and recommends that institutions of higher learning must enhance their curricula. This includes the incorporation of simulations and experiential learning, which are deemed particularly paramount
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    Factors influencing the adoption of big data analytics in the South African financial services industry
    (University of the Witwatersrand, Johannesburg, 2023) Mthethwa, Siyabonga
    The rapid expansion of big data analytics (BDA) presents significant prospects for organizations across industries, including the financial services sector. This research investigated the factors that influence the adoption of BDA within the South African financial services industry, examining their impact on investment decision-making and the evaluation of post-implementation value. A comprehensive research framework is employed to accomplish these objectives, combining the Technological, Organizational, and Environmental (TOE) framework with the BDA Adoption model. The TOE framework provides a contextual understanding of technological, organisational, and environmental factors, while the BDA Adoption model specifically focuses on moderating factors such as paradigm shift and organisation’s complexity tolerance for big data analytics adoption. Data is gathered from diverse stakeholders in the South African financial services industry through a qualitative approach encompassing semi-structured interviews. Thematic analysis method was used to analyse the data gathered from the interviews. The findings of this study indicate that organizations characterized by a higher tolerance for complexity are more prone to achieving a seamless transition from the intention of adopting BDA to its successful deployment. This study also found that a combination of factors such as top management support, relative advantage, trialability, human resource, regulatory environment and vendor support did influence investment decision-making collectively. Also, the push from the regulators and the need by financial organisations to improve customer experience led to an acceleration of BDA adoption, which ultimately led to investment decisions being made to meet these objectives. The outcomes of this research will contribute to the growing body of knowledge on BDA adoption by offering unique insights into the factors specific to the South African financial services industry. Furthermore, the findings will assist organizations operating within this sector in making well-informed decisions iii regarding BDA adoption, optimizing their investments, and maximizing the value obtained from the implementation of BDA technologies
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    Sustaining and supporting SMME use of big data in South Africa
    (2021) Xegwana, Siviwe
    SMEs play a significant role in the South African economy because of their contribution towards employment which makes this a very important sector. Big Data plays a significant role in propelling the digital economy and organisations that are dominant across various industries are those that have effectively adopted and assimilated BDA technologies in their business strategies. The purpose of the study was to investigate the influence of Big Data Analytics BDA) technologies on sustaining growth strategies of Small and Medium-sized Enterprises in South Africa. The study was carried out using a non-experimental quantitative research method that draws from a post-positivist worldview. Data collection was done using an online survey in a form of a self-administered questionnaire. The research survey was distributed through email to a random sample of participants sourced from online business directories and IT professionals who work for SME entities and are actively involved in big data initiatives. The key findings of the study reveal that BDA technologies do positively influence SME’s competitive advantage, and resource constraints do have a negative impact on SME growth strategies, but the relationship between adoption and assimilation of BDA technologies and SME growth was found to be very weak and insignificant. Leveraging and delivering value through BDA, SMEs can develop and sustain a robust SME sector and make a considerable contribution towards employment and improve socio-economic conditions for the South African public.