Predictive Analytics

Abstract

Predictive analytics, leveraging machine learning and big data, has emerged as a transformative tool in business and consumer behavior forecasting. This study explores the application of predictive models to anticipate market trends, optimize decision-making, and enhance customer engagement. Integrating machine learning algorithms with big data enables businesses to analyze vast amounts of structured and unstructured data, uncovering patterns that drive actionable insights. Results highlight the synergistic relationships among capabilities, such as real-time data availability and data source utilization, while emphasizing the foundational role of robust technical infrastructure. Managerial implications underscore the need for a balanced development of capabilities and strategic integration of predictive systems into decision-making processes. This study contributes to the understanding of how organizations can effectively deploy predictive analytics to anticipate trends, optimize decision-making, and achieve competitive advantage.

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