Artificial Intelligence and Data Analytics in Business Decision-Making and Management

Abstract

Artificial intelligence and data analytics have become essential tools for modern business decision-making and management. In today’s competitive and technology-driven environment, organizations generate large amounts of data through customer interactions, financial transactions, supply chains, digital platforms, production systems, and market activities. Traditional decision-making methods are often unable to process this data quickly and accurately. Artificial intelligence and data analytics help organizations transform raw data into useful insights for planning, forecasting, risk management, customer engagement, operational efficiency, and strategic growth. This article examines the role of artificial intelligence and data analytics in business decision-making and management. It discusses how AI-based tools support strategic planning, marketing, finance, human resource management, operations, and organizational performance. The article also highlights challenges such as data privacy, algorithmic bias, lack of skilled professionals, implementation costs, and ethical concerns. The study concludes that organizations that integrate AI and data analytics into management practices can improve decision quality, enhance competitiveness, reduce uncertainty, and achieve sustainable business growth.