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Big Data Analytics

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Adaptive Array Antenna
Beamforming Array
Big Data
Big Data Analytics
Business Analytics
Business Processes
Category=KJS
Category=PBT
Category=UNF
Category=UY
consumer analytics
consumer behavior analysis
CRM System
data science
Data Sets
Decibel Milliwatts
digital marketing
digital marketing analytics strategies
Digital Marketing Strategies
Entrepreneurial Journey
entrepreneurship
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ERP System
Firm's Performance Management
fuzzy decision theory
interval neutrosophic operators
IoT Device
Multiple Input Multiple Output Antenna
organizational decision models
performance management systems
POS System
QR Code
Reconfigurable Antennas
resource allocation optimization
Scan QR Code
Signal Detection
Smart Antenna
smart retail
Smart Retailing
Super Stores
Switched Beam
Web Analytics

Product details

  • ISBN 9781032310305
  • Weight: 1260g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Nov 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

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.
About

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.