Big Data Analytics
eBook - ePub

Big Data Analytics

Digital Marketing and Decision-Making

  1. 246 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Big Data Analytics

Digital Marketing and Decision-Making

Book details
Table of contents
Citations

About This Book

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.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Big Data Analytics by Kiran Chaudhary,Mansaf Alam in PDF and/or ePUB format, as well as other popular books in Business & Digital Marketing. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Auerbach Publications
Year
2022
ISBN
9781000755787
Edition
1
Topic
Business
Subtopic
Digital Marketing
Index
Business

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. List of Figures
  7. List of Tables
  8. Preface
  9. About the Editors
  10. Contributors
  11. Chapter 1 Marketing Mode and Survival of the Entrepreneurial Activities of Nascent Entrepreneurs
  12. Chapter 2 The Responsibility of Big Data Analytics in Organization Decision-Making
  13. Chapter 3 Decision-Making Model for Medical Diagnosis Based on Some New Interval Neutrosophic Hamacher Power Choquet Integral Operators
  14. Chapter 4 Prediction of Marketing by the Consumer Analytics
  15. Chapter 5 Web Analytics for Digital Marketing
  16. Chapter 6 Smart Retailing: A Novel Approach for Retailing Business
  17. Chapter 7 Leveraging Web Analytics for Optimizing Digital Marketing Strategies
  18. Chapter 8 Smart Retailing in Digital Business
  19. Chapter 9 Business Analytics and Performance Management in India
  20. Chapter 10 Parameterized Fuzzy Measures Decision-Making Model Based on Preference Leveled Evaluation Functions for Best Signal Detection in Smart Antenna
  21. Index