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Title:
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THE TAXONOMICAL DISTINCTION BETWEEN THE
CONCEPTS OF SMALL DATA AND BIG DATA |
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Author(s):
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Wandisa Nyikana and Tiko Iyamu |
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ISBN:
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978-989-8704-48-1 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Big Data, Confusion between Small and Big Data, Taxonomic, Small Data |
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Type:
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Full Paper |
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First Page:
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136 |
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Last Page:
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146 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The differentiation between big data and small data is growing in confusion, in both academic and business domains. The
confusion is endorsed by studies, by consistently arguing that the difference between big data and small data is not about
size. The confusion between big data and small data is increasingly prohibitive for many organisations including students.
As a result of the confusion and its associated implications, there are many costly decisions by individuals and groups in
organisations. Consequently, productivity and quality of service are affected, which negatively reflect in competitiveness
and sustainability. Thus, it is critically essential to address these growing challenges while the consequences are
manageable. The objective of the study was to develop a taxonomy that distinguishes small data from big data, to remove
the confusion, which often hinder understanding and affect the use for business enhancement. From the interpretivist
approach perspective, the qualitative methods were employed in the study. |
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