AI-Based Data Analytics: Applications for Business Management

This book explores how organizations can increase profits by making better decisions through data analytics, covering topics such as customer experience, sentiment analysis, business intelligence, federated learning, AI-based planning, and business model innovation. It also discusses digital marketing and online impulse buying behavior.

Format: Hardback
Length: 244 pages
Publication date: 29 December 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into diverse aspects of marketing and business analytics, offering valuable insights for organizations seeking to enhance their profits through timely and informed decision-making. Designed for students, practitioners, industry professionals, researchers, and academics specializing in commerce, marketing, big data analytics, and organizational decision-making, it provides a wealth of knowledge and practical applications.

Highlights of the book include:

Explainable AI: Unveiling its Role in Enhancing Customer Experiences in E-Commerce
Sentiment Analysis of Social Media: Analyzing the Tone and Emotional Impact of Online Conversations
Data Analytics in Business Intelligence: Harnessing Data to Drive Strategic Decision-Making
Federated Learning for Business Intelligence: Combining Data from Multiple Sources for Accurate Predictions
AI-Based Planning of Business Management: Leveraging AI to Optimize Resource Allocation and Performance
AI-Based Business Model Innovation in New Technologies: Embracing AI to Create Revolutionary Business Models
An Analysis of Social Media Marketing and Online Impulse Buying Behavior: Understanding Consumer Behavior in the Digital Age

AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first encompasses analytics for decision-making, covering big data analytics for market intelligence, data analytics and consumer behavior, and the pivotal role of big data analytics in organizational decision-making. The second focus is on digital marketing, encompassing the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.

By exploring these topics in depth, this book equips readers with the tools and strategies necessary to thrive in the ever-evolving business landscape, where data-driven insights and innovative approaches are paramount. Whether you are a student seeking to expand your knowledge in marketing and business analytics or a professional seeking to advance your career, this book is an invaluable resource that will help you achieve your goals.

Weight: 640g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032411767