Impact of predictive analytics on management decision making
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In a business environment characterized by uncertainty and volatility, this study explores the role of predictive analytics as a strategic tool to improve the quality of managerial decisions. Through a systematic literature review of academic literature published between 2017 and 2024 in databases such as Scopus and Web of Science, trends, benefits and barriers related to its organizational adoption were identified. The findings show that predictive analytics can anticipate market trends, optimize financial planning, improve talent management and drive product innovation. However, its effectiveness depends on three key factors: a data-driven organizational culture, training in analytical skills, and the quality and availability of data. The study concludes that beyond a technological tool, predictive analytics represents a structural shift towards evidence-based management models, and its successful implementation requires a synergistic integration between technology, talent and organizational culture.
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