Big Data Analytics: Applications in Business and Marketing

Length: 256 pages
Edition: 1
Language: English
Publisher: Auerbach Publications
Publication Date: 2022-01-19
ISBN-10: 1032187662
ISBN-13: 9781032187662
Sales Rank: #0 (See Top 100 Books)

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well as future research directions. It also examines how this emerging field could be extended to performance management and decision-making. Investment in business and marketing analytics can create value through proper allocation of resources and resource orchestration process. The use of data analytics tools can be used to diagnose and improve performance.

The book is divided into five parts. The first part introduces data science, big data, and data analytics. The second part focuses on applications of business analytics including:

Big data analytics and algorithm
Market basket analysis
Anticipating consumer purchase behavior
Variation in shopping patterns
Big data analytics for market intelligence

The third part looks at business intelligence and features an evaluation study of churn prediction models for business Intelligence. Part IV examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and of consumer behavior. The book concludes with digital marketing, marketing by consumer analytics, web analytics for digital marketing, and smart retailing.

This book covers the concepts, applications and research trends of marketing and business analytics with the aim of helping organizations increase profitability by improving decision-making through data analytics.

Cover Page
Half Title Page
Title Page
Copyright Page
Contents Page
Preface Page
Editors Page
Contributors Page
1 Embrace the Data Analytics Chase: A Journey from Basics to Business
2 Big Data Analytics and Algorithms
3 Market Basket Analysis: An Effective Data-Mining Technique for Anticipating Consumer Purchase Behavior
4 Customer View—Variation in Shopping Patterns
5 Big Data Analytics for Market Intelligence
6 Advancements and Challenges in Business Applications of SAR Images
7 Exploring Quantum Computing to Revolutionize Big Data Analytics for Various Industrial Sectors
8 Evaluation of Green Degree of Reverse Logistic of Waste Electrical Appliances
9 Nonparametric Approach of Comparing Company Performance: A Grey Relational Analysis
10 Applications of Big Data Analytics in Supply-Chain Management
11 Evaluation Study of Churn Prediction Models for Business Intelligence
12 Big Data Analytics for Marketing Intelligence
13 Demystifying the Cult of Data Analytics for Consumer Behavior: From Insights to Applications
Index