Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support

Analytics, Data Science, & Artificial Intelligence for Decision Support

Ramesh Sharda, Dursun Delen, and Efraim Turban’s Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is a major textbook in business analytics and decision support systems. This 11th edition brings together the technologies that now shape modern analytical work—business intelligence, data science, machine learning, AI, big data, robotics, cloud computing, and intelligent systems—into one carefully structured course text.

Its strength is breadth without losing the practical thread. The book moves from the foundations of decision support and analytics to predictive methods, prescriptive techniques, and the newer AI-driven tools that help organizations interpret data and make better decisions. Real-world cases appear throughout, giving the material a distinctly applied business focus rather than a purely theoretical one.

What the 11th Edition Covers

• business intelligence, analytics, and decision support frameworks
• AI concepts, technologies, and business applications
• data, statistical modeling, preprocessing, and visualization
• data mining, machine learning, deep learning, and text mining
• optimization, simulation, big data, cloud computing, and location analytics
• robotics, collaborative systems, expert systems, chatbots, virtual assistants, and IoT
• ethics, privacy, and organizational impacts of analytics and AI

A Strong Fit for MIS and Analytics Courses

This is a serious, course-ready text built for readers who want a clear map of how analytical systems are designed and used in practice. The chapter sequence, examples, and topic balance make it especially useful for students in management information systems, business analytics, and decision support courses, as well as instructors looking for a comprehensive reference text.

Why It Stands Out

Rather than treating analytics and AI as separate subjects, the book shows how they converge inside real organizations. That perspective gives the text a useful modern edge: it explains not just what the tools are, but how they work together inside the decision-making process.

Digital ebook edition available through Digital Delights.