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Full Description
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.
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.
