Research perspectives on the application of Big Data in organizational management processes: oportunities and challenges
The rapid growth in the volume of data produced by organizations has necessitated an understanding of how Big Data is changing management processes; however, there are still gaps in our understanding of what Big Data truly entails and what obstacles companies face in adopting it. The primary objective of this research was to analyze the literature on the use of Big Data at the level of management processes in organizations from 2022 to 2026. The study was conducted as a systematic literature review following the PRISMA protocol, taking into account academic sources published during the specified period. The results highlight applications in strategic decision-making, human talent management, marketing and customer management, supply chain management, finance, risk management, and new product development, along with lessons learned regarding organizational efficiency and competitiveness. They also identify obstacles such as technological limitations, gaps in competencies and skills, resistance, privacy concerns, and implementation costs. This leads to the conclusion that Big Data is establishing itself as a strategic tool for organizations, but that its effective use depends on overcoming these obstacles.
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