Big data analytics: digital marketing and decision-making

Contributor(s):

Material type: Text

TextPublication details: CRC Press Boca Raton 2023Description: 246 pISBN:

9781032310305

Subject(s):

DDC classification:

001.42 CHA

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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	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.

There are no comments on this title.

to post a comment.