The Role of Data Analytics in Predictive Modeling and Decision-Making
Abstract
Predictive modeling has become a cornerstone of modern data analytics, enabling organizations to forecast trends and make data-driven decisions. This review paper delves into the methodologies underpinning predictive analytics, including regression analysis, time series forecasting, and ensemble learning. It also discusses the integration of predictive models into decision support systems and their impact on sectors like supply chain management, marketing, and healthcare. The paper concludes with an exploration of emerging technologies such as explainable AI (XAI) and their role in enhancing the transparency and reliability of predictive models.
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