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

This book delves into the interconnected realms of analytics, data science, and artificial intelligence, offering readers a comprehensive perspective on how these fields influence decision-making processes. The authors, Ramesh Sharda, Dursun Delen, and Efraim Turban, provide a blend of theory and practical insights that cater to both academic and professional audiences. The content is meticulously structured to guide learners through the complexities of decision support systems, equipping them with the knowledge needed to navigate an increasingly data-driven world.

Through engaging examples and case studies, the authors illustrate the implementation of various decision support tools that harness the potential of AI and machine learning. They emphasize the importance of understanding data analytics in making informed decisions, which is crucial for managers and organizations aiming to thrive in competitive environments. The book also addresses challenges and ethical considerations associated with the use of these advanced technologies.

The text invites readers to explore how systems can be designed to aid managerial decision-making, highlighting emerging trends and innovations in technology. By integrating theoretical frameworks with practical applications, it serves as an essential resource for those looking to deepen their understanding of how analytics and AI can transform business practices.

Moreover, the work encourages critical thinking about the role of data within organizations, urging readers to consider not just the tools but also the strategies behind successful decision-making. With a focus on real-world applicability, this book is destined to become a vital reference for students, educators, and professionals in the evolving landscape of management support systems.