Optimising data management systems for SME scalability in South Africa: A vendor perspective

Purpose: The purpose of this study was to investigate how optimised data management systems (DMS) can enhance the scalability of small and medium enterprises (SMEs) in South Africa from a vendor perspective. Design/methodology/approach: A qualitative case study was employed, focusing on a leading provider of enterprise solutions. Participants were selected through purposive sampling to ensure the inclusion of personnel with relevant expertise. Data were collected through semi-structured interviews, and responses were analysed using thematic analysis. Findings/results: The study revealed that robust infrastructure, advanced digital architecture, Citrix solutions and cloud-based platforms are key drivers in optimising DMS to enhance SME scalability in South Africa. It emphasised the crucial role of DMS vendors in addressing the evolving scalability needs of SMEs, enabling them to leverage data for innovation, growth and tackling Industry 4.0 challenges. Practical implications: This study offers valuable insights for SMEs and data management vendors. For SMEs, the findings highlight the importance of investing in robust digital infrastructure and cloud-based solutions to support scalability and drive growth. On the other hand, vendors must focus on developing customised, scalable solutions that address unique needs of SMEs, enabling them to navigate Industry 4.0 challenges effectively. Findings show that fostering SME-vendor partnerships, investing in resilient infrastructure and emerging technologies and prioritising data security and interoperability are essentials of operational efficiency. Originality/value: This study offers a novel exploration of DMS optimisation from a vendor’s perspective, specifically tailored to the context of SME scalability in South Africa.

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Publication Details

Journal
South African Journal of Business Management
Published
2025-07-21
DOI
https://doi.org/10.4102/sajbm.v56i1.4924
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

Optimising data management systems for SME scalability in South Africa: A vendor perspective

Nhlanhla Mlitwa, Neo N. Gaaje
1 citations
South African Journal of Business Management
Big Data and Business Intelligence
2.28
article

Optimising data management systems for SME scalability in South Africa: A vendor perspective

Nhlanhla Mlitwa, Neo N. Gaaje
article en
1 citations

Abstract

Purpose: The purpose of this study was to investigate how optimised data management systems (DMS) can enhance the scalability of small and medium enterprises (SMEs) in South Africa from a vendor perspective. Design/methodology/approach: A qualitative case study was employed, focusing on a leading provider of enterprise solutions. Participants were selected through purposive sampling to ensure the inclusion of personnel with relevant expertise. Data were collected through semi-structured interviews, and responses were analysed using thematic analysis. Findings/results: The study revealed that robust infrastructure, advanced digital architecture, Citrix solutions and cloud-based platforms are key drivers in optimising DMS to enhance SME scalability in South Africa. It emphasised the crucial role of DMS vendors in addressing the evolving scalability needs of SMEs, enabling them to leverage data for innovation, growth and tackling Industry 4.0 challenges. Practical implications: This study offers valuable insights for SMEs and data management vendors. For SMEs, the findings highlight the importance of investing in robust digital infrastructure and cloud-based solutions to support scalability and drive growth. On the other hand, vendors must focus on developing customised, scalable solutions that address unique needs of SMEs, enabling them to navigate Industry 4.0 challenges effectively. Findings show that fostering SME-vendor partnerships, investing in resilient infrastructure and emerging technologies and prioritising data security and interoperability are essentials of operational efficiency. Originality/value: This study offers a novel exploration of DMS optimisation from a vendor’s perspective, specifically tailored to the context of SME scalability in South Africa.

South African Journal of Business ManagementVol. 56(1)
University of South Africa (ZA)
Openalex Percentile: Top 10%
Big Data and Business Intelligence
2.28
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