Book, Pearson
- Recognized as the most comprehensive introduction to business analytics and the methods and software that develop these systems.
- Provides current, real-world examples throughout to help students understand how organizations use analytics to make sound business decisions.
- Accompanied by a companion website that provides additional materials and software tutorials that enhance learning.
PART I: INTRODUCTION TO ANALYTICS AND AI
- An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence
- Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
- Nature of Data, Statistical Modeling, and Visualization
PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
- Data Mining Process, Methods, and Applications
- Machine learning Techniques for Predictive Analytics
- Deep Learning and Cognitive Computing
- Text Mining, Sentiment Analysis, and Social Analytics
PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
- Prescriptive Analytics with Optimization and Simulation
- Big Data, Location Analytics, and Cloud Computing
PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
- Robotics: Industrial and Consumer Applications
- Group Decision Making, Collaborative Systems, and AI Support
- Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
- The Internet of Things As a Platform for Intelligent Applications
PART V: CAVEATS OF ANALYTICS AND AI
- Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts