Decision-Making and Analytics: Data-Driven Business Intelligence and Optimization

In today's data-driven business world, organizations struggle to extract actionable insights from vast amounts of information.This textbook bridges theory and practice, offering structured approaches to leverage data for enhanced decision-making through machine learning, AI, and optimization modeling-transforming raw data into competitive business intelligence. Decision Making and Analytics: Data-Driven Business Intelligence and Optimization features advanced analytical methodologies paired with real-world implementation studies, creating a progressive learning path from customer behavior analysis through hybrid decision models.By integrating fuzzy logic, neural networks, text mining, and reinforcement learning, it provides a comprehensive toolkit applicable across business scenarios, turning abstract concepts into practical solutions. Serving multiple audiences, this resource bridges the gap between classroom theory and industry practice for students in industrial engineering, busines