Data Science as a Strategy for Survival and Expansion of Small and Medium-Sized Enterprises
Data Science as a Strategy for Survival and Expansion of Small and Medium-Sized Enterprises
DOI:
https://doi.org/10.51473/rcmos.v1i2.2024.1578Keywords:
Data Science; Small and Medium Enterprises; Decision-Making; Analytical Intelligence; Digital Transformation.Abstract
The increasing complexity of global markets, coupled with ongoing technological transformations, imposes a structural challenge on small and medium-sized enterprises (SMEs): surviving and thriving in highly volatile environments. Data science, defined as the integration of statistics, machine learning, and computational analysis, emerges as a strategic vector capable of redefining organizational decision-making by shifting from intuition-based practices to evidence-driven approaches (PROVOST; FAWCETT, 2013; DAVENPORT; HARRIS, 2017). This article critically and interdisciplinarily examines how data science can be applied to SMEs, offering instruments for risk anticipation, early opportunity diagnostics, product personalization, and process optimization. It argues that technological democratization and access to low-cost tools make the adoption of data science a minimum infrastructure for competitiveness. Drawing on literature up to 2022, the study highlights that SME survival will depend on their ability to transform dispersed data into actionable organizational intelligence, constituting not only a technical resource but a strategic imperative for long-term sustainability.
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Copyright (c) 2024 Vinícius de Souza Alexandre (Autor)
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