Big data analytics: digital marketing and decision-making
Material type:
TextPublication details: Boca Raton CRC Press 2023 Description: 246 pISBN: 9781032310305Subject(s): R - Computer program language | Data analyticsDDC classification: 001.42 Summary: 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 001.42 CHA (Browse shelf(Opens below)) | 1 | Available | 005480 |
Chapter 1 Marketing Mode and Survival of the Entrepreneurial Activities of Nascent Entrepreneurs
Muhammad Nawaz Tunio, Iffat Sabir Chaudhry, Farooq Mughal, and Erum Shaikh
Chapter 2 The Responsibility of Big Data Analytics in Organization Decision-Making
Ezeifekwuaba Tochukwu Benedict
Chapter 3 Decision-Making Model for Medical Diagnosis Based on Some New Interval Neutrosophic
Hamacher Power Choquet Integral Operators
Pankaj Kakati and Saifur Rahman
Chapter 4 Prediction of Marketing by the Consumer Analytics
C.C. Jayasundara
Chapter 5 Web Analytics for Digital Marketing
Srinivas Dinakar Nethi, Venkata Rajasekhar Moturu, and Krishnaveer Abhishek Challa
Chapter 6 Smart Retailing: A Novel Approach for Retailing Business
Ghanshyam Parmar
Chapter 7 Leveraging Web Analytics for Optimizing Digital Marketing Strategies
Sapna Sood
Chapter 8 Smart Retailing in Digital Business
S.R. Mani Sekhar, Tarun Krishnan, Louie Antony, Sandeep B.L., and Siddesh G.M.
Chapter 9 Business Analytics and Performance Management in India
Pavnesh Kumar, Siddhartha Ghosh, and Kiran Chaudhary
Chapter 10 Parameterized Fuzzy Measures Decision-Making Model Based on Preference Leveled Evaluation
Functions for Best Signal Detection in Smart Antenna
Seema Khanum, Rajiga S.V., Mathanprasad L., M. Gunasekaran, and Firos A.
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.
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