Big Data Analytics and Data-Driven Decision-Making in Organizational Management
Keywords:
big data analytics, data-driven decision-making, digital transformation, artificial intelligence, organizational management, data-driven innovationAbstract
Objective: To critically reflect on the impact of big data analytics and data-driven models on contemporary organizational management, identifying emerging trends, ethical challenges, and strategic opportunities in dynamic business environments. Methodology: A conceptual review of scientific literature indexed in Scopus was conducted, supplemented by recent studies related to artificial intelligence, algorithmic governance, digital innovation, and organizational resilience. The analysis was structured around five axes: digital transformation and decision-making, artificial intelligence and automation, predictive analytics and competitiveness, ethical governance and algorithmic transparency, and data-driven innovation. Results and conclusions: The results showed that data-driven organizations exhibit greater adaptability, innovation, and operational efficiency by integrating artificial intelligence, digital platforms, and predictive systems. It is concluded that big data analytics is not merely a technological tool, but a strategic model that redefines organizational culture, governance, and decision-making processes, although tensions related to data quality, algorithmic transparency, privacy, and technological dependence persist.
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