AI-Based Data Analytics: Applications for Business ManagementКНИГИ » ОС И БД
Название: AI-Based Data Analytics: Applications for Business Management Автор: Kiran Chaudhary, Mansaf Alam Издательство: CRC Press Год: 2024 Страниц: 261 Язык: английский Формат: pdf (true) Размер: 13.6 MB
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
This book is focused on Artificial Intelligence (AI), Data Analytics, Sentiment Analysis for social media, and various approaches to AI in Business Management. This is an emerging field that can increase the performance management domain to improve understanding of business and marketing dynamics that can lead to better strategic decision-making. In this book, we have also given a variety of marketing and business analytics strategies to solve market and organizational challenges. The use of AI in business and marketing analytics can help to create value by proper allocation of all available resources. By using various techniques and tools of Big Data analytics, we can improve the performance of the business.
Data analytics is a vast discipline that encompasses a variety of methodologies and technologies. Predictive analytics, data mining, Machine Learning (ML), and Natural Language Processing (NLP) are included. Data mining involves the extraction of patterns from massive databases, whereas ML employs algorithms to learn from data and create predictions. Natural language processing employs algorithms to analyze and comprehend human language, whereas predictive analytics uses data to make predictions about the future.
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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AI-Based Data Analytics: Applications for Business Management 
