Data Mining and Predictive Modelling for Data-Driven Growth in the USA

Abstract

This paper explores the role of data mining and predictive modelling in fostering data-driven growth across various sectors in the United States. Drawing upon a comprehensive review of peer-reviewed academic literature, the study examines how these analytical tools have transformed decision-making, enhanced operational efficiency, and supported innovation in fields such as healthcare, finance, governance, and retail. The findings indicate that organizations leveraging predictive modelling benefit from improved forecasting, risk management, and customer engagement. However, challenges such as algorithmic bias, data privacy concerns, and regulatory gaps persist, raising ethical and governance issues. The paper concludes by emphasizing the need for ethical frameworks, regulatory reform, capacity building, and interdisciplinary collaboration to harness the full potential of predictive analytics in promoting sustainable and inclusive economic growth in the USA.