AI-Based Data Analytics: Applications for Business Management

This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include The role of Explainable AI in improving customer experiences in e-commerce Sentiment analysis of social media Data analytics in business intelligence Federated learning for business intelligence AI-based planning of business management An AI-based business model innovation in new technologies An analysis of social media marketing and online impulse buying behaviour AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book’s second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies. AI-Based Data Analytics: Applications for Business Management covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include: The role of Explainable AI in improving customer experiences in e-commerce Sentiment analysis of social media Data analytics in business intelligence Federated learning for business intelligence AI-based planning of business management An AI-based business model innovation in new technologies An analysis of social media marketing and online impulse buying behaviour The book has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book’s second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies. Cover Half Title Title Page Copyright Page Contents Preface Acknowledgements List of Abbreviations About the Editors List of Contributors Chapter 1: Use of AI in E-Commerce Chapter 2: Sentiment Analysis of Social Media with AI Chapter 3: Unlocking the Power of Explainable AI to Improve Customer Experiences in E-Commerce Chapter 4: Business Intelligence Chapter 5: Sentiment Analysis of Social Media: Bibliometric Analysis Chapter 6: Exploring Hugging Face Transformer Library Impact on Sentiment Analysis: A Case Study Chapter 7: Data Analytics in Business Intelligence Chapter 8: Federated Learning for Business Intelligence: Predictive Maintenance in Industry 4.0 Chapter 9: Role of IoT in Smart Cities: Proliferation and Challenges Chapter 10: AI-Based Planning of Business Management Chapter 11: AI-Based Business Model Innovation in New Technologies Chapter 12: Cloud Computing: Storage Management, Security, and Privacy Chapter 13: Social Media Marketing and Online Impulse Buying Behaviour: An Analysis through Website Quality as Moderator Chapter 14: Effect of Blockchain Technology on the Future of E-Commerce in India Chapter 15: Assessing the Usage of Various Data Mining Techniques for Analysis of Online Social Networks Index