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AI-Based Data Analytics
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AI-Based Data Analytics : Applications for Business Management

Book Details

Format Hardback or Cased Book
ISBN-10 1032411767
ISBN-13 9781032411767
Publisher Taylor & Francis Ltd
Imprint Auerbach
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 29th, 2023
Print length 244 Pages
Weight 580 grams
Ksh 15,650.00
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This book explores the concept and applications of AI-based analytics related to marketing and business. It also discusses future research directions in this domain. It covers both aspects of artificial intelligence-based marketing and business that are helpful for business management to succeed in the marketplace by creating value.

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.


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