AI-Based Data Analytics: Applications for Business Management

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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.

Author(s): Kiran Chaudhary, Mansaf Alam
Publisher: CRC Press
Year: 2023

Language: English
Pages: 261

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