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Leveraging Big Data For Cost Control: Insights From A Regional Small Business

The purpose of this research is to demonstrate the contribution of big data analysis to cost management within a small and medium-sized enterprise and to determine whether this approach yields greater profitability than conventional cost management methods. The theoretical framework draws upon the concepts of big data, SMEs, and cost management. The study examines a food retail SME, with analysis limited to one specific product. Historical purchasing and sales price data were collected, profit margins were calculated, and predictive modeling techniques were applied to forecast prices under a big data–based system. Results show that integrating big data analytics into cost management generated superior profitability, enhanced forecasting precision, strengthened competitive positioning, and led to increased sales performance.

Joaquim Leite
UNIAG, Instituto Politécnico de Bragança (IPB)
Portugal

Cecília Carmo
GOVCOPP, Universidade de Aveiro (ISCA-UA)
Portugal

Virgínia Guedes
Instituto Politécnico de Bragança (IPB)
Portugal