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Big Data Analytics -

Big Data Analytics

Digital Marketing and Decision-Making

Kiran Chaudhary, Mansaf Alam (Herausgeber)

Buch | Hardcover
246 Seiten
2022
Auerbach (Verlag)
978-1-032-31030-5 (ISBN)
CHF 127,40 inkl. MwSt
This book includes various topics related to marketing and business analytics. It is written to help organizations increase their profits by making better decisions. This book is meant for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce, marketing, and big data analytics.
Big Data Analytics: Digital Marketing and Decision-Making covers the advances related to marketing and business analytics. Investment marketing analytics can create value through proper allocation of resources and resource orchestration processes. The use of data analytics tools can be used to improve and speed decision-making processes.

Chapters examining analytics for decision-making cover such topics as:



Big data analytics for gathering business intelligence
Data analytics and consumer behavior
The role of big data analytics in organizational decision-making

This book also looks at digital marketing and focuses on such areas as:



The prediction of marketing by consumer analytics
Web analytics for digital marketing
Smart retailing
Leveraging web analytics for optimizing digital marketing strategies

Big Data Analytics: Digital Marketing and Decision-Making aims to help organizations increase their profits by making better decisions on time through the use of data analytics. It is written for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, big data analytics, and organizational decision-making.

Dr. Kiran Chaudhary is an assistant professor in the Department of Commerce at Shivaji College, University of Delhi. She has 12 years of teaching and research experience. She earned her Ph.D. in Marketing from Kurukshetra University, India. Her areas of research include marketing, human resource management, organizational behavior, and business and corporate law. She is a distinguished student winning various awards of recognition. She is a book author as well as conference and journal paper author. Dr. Mansaf Alam is a professor in the Department of Computer Science, Faculty of Natural Sciences, at Jamia Millia Islamia University, New Delhi, India. He has also been a Young Faculty Research Fellow for the Ministry of Electronics and Information Technology in India and editor-in-chief of the Journal of Applied Information Science. As a journal and conference paper author, he conducts research in such areas as big data analytics, machine learning and deep learning, cloud computing, cloud database management systems, object-oriented database systems, information retrieval, and data mining. His other academic activities include: journal reviewer, member of conference program committees, journal editorial board member, and book author.

1. Marketing Mode and Survival of the Entrepreneurial Activities of Nascent Entrepreneurs 2. The Responsibility of Big Data Analytics in Organizational Decision Making 3. Decision-Making Model for Medical Diagnosis Based on Some New Interval Neutrosophic Hamacher Power Choquet Integral Operators 4. Prediction of Marketing by Consumer Analytics 5. Web Analytics for Digital Marketing 6. Smart Retailing: A Novel Approach for the Retail Business 7. Leveraging Web Analytics for Optimizing Digital Marketing Strategies 8. Smart Retailing in Digital Business 9. Business Analytics and Performance Management in India 10. Parameterized Fuzzy Measures Decision Making Model Based on Preference Leveled Evaluation

Erscheinungsdatum
Zusatzinfo 17 Tables, black and white; 8 Line drawings, color; 3 Line drawings, black and white; 14 Halftones, color; 1 Halftones, black and white; 22 Illustrations, color; 4 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 512 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik
Wirtschaft Betriebswirtschaft / Management Marketing / Vertrieb
Wirtschaft Volkswirtschaftslehre
ISBN-10 1-032-31030-8 / 1032310308
ISBN-13 978-1-032-31030-5 / 9781032310305
Zustand Neuware
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