Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition, 11th edition

Published by Pearson (10 March 2020) © 2020

  • Ramesh Sharda Oklahoma State University
  • Dursun Delen Oklahoma State University
  • Efraim Turban Oklahoma State University , University of Hawaii
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Products list
$82.15 AUD
Instant access

Access details

  • Instant access once purchased
  • Fulfilled by VitalSource

Title overview

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support provides a comprehensive introduction to the technologies, methodologies, and tools that drive modern business analytics and intelligent decision-making. Designed for courses in decision support systems, business analytics, and management support systems, this text explores how organisations leverage data, analytics, and artificial intelligence to solve complex problems and make informed strategic decisions.

Covering the full analytics lifecycle, students are introduced to foundational concepts in business analytics, data science, statistical modeling, data visualisation, and decision support systems before progressing to advanced topics such as machine learning, deep learning, text mining, optimisation, cloud computing, robotics, chatbots, and the Internet of Things (IoT). Real-world examples and application cases demonstrate how organisations across industries use these technologies to enhance performance, drive innovation, and gain competitive advantage.

The 11th Edition has been extensively updated and reorganised to reflect the growing importance of analytics and AI in modern business environments. New and substantially revised chapters examine emerging technologies and trends, including artificial intelligence, cognitive computing, robotics, smart systems, and ethical considerations surrounding intelligent technologies. The result is a practical, up-to-date resource that prepares students to understand and apply analytics-driven decision-making in today's data-rich world.

Table of contents

  • PART I: INTRODUCTION TO ANALYTICS AND AI
  • 1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence
  • 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
  • 3. Nature of Data, Statistical Modeling, and Visualization
  • PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
  • 4. Data Mining Process, Methods, and Applications
  • 5. Machine learning Techniques for Predictive Analytics
  • 6. Deep Learning and Cognitive Computing
  • 7. Text Mining, Sentiment Analysis, and Social Analytics
  • PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
  • 8. Prescriptive Analytics with Optimization and Simulation
  • 9. Big Data, Location Analytics, and Cloud Computing
  • PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
  • 10. Robotics: Industrial and Consumer Applications
  • 11. Group Decision Making, Collaborative Systems, and AI Support
  • 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
  • 13. The Internet of Things As a Platform for Intelligent Applications
  • PART V: CAVEATS OF ANALYTICS AND AI
  • 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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