Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights

Abstract

This paper explores the transformative role of predictive analytics in enhancing strategic decision-making and business performance. It delves into the components of predictive analytics, including data mining, machine learning, and statistical techniques. It highlights its historical evolution and technological enablers like big data platforms, cloud computing, and AI. The paper examines how predictive analytics improves profitability, efficiency, and market share by providing actionable insights from raw data. It also discusses emerging trends such as advancements in AI, the Internet of Things (IoT), and real-time analytics while addressing associated risks like data privacy and ethical considerations. The conclusion underscores the necessity of adopting predictive analytics for sustainable growth and competitive advantage in today's data-driven business environment.