Data science and analytics /

Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.

Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Kumari, Sneha, 1988- (Editor), Tripathy, Kamal K., 1973- (Editor), Kumbhar, Vidya, 1980- (Editor)
Format: Electronic eBook
Language:Inglés
Published: Bingley, UK : Emerald Group Publishing, 2021.
Edition:First edition.
Subjects:
Decision making.
Business intelligence.
Big data.
Decision Making
Prise de décision.
Données volumineuses.
decision making.
Management decision making.
Business & Economics > Decision-Making & Problem Solving.
Online Access:Texto completo
Table of Contents:
  • Chapter 1. Data visualization
  • Chapter 2. Analytical aspects of multimedia big data computing and future
  • Chapter 3. Predictive analysis: comprehensive study of popular open source tools
  • Chapter 4. Market opportunities through effective market analytics
  • Chapter 5. Stochastic point process techniques for modelling problems in internet of things (IoT) and marketing
  • Chapter 6. Real-Time data analytics
  • a contemporary approach towards customer relationship management
  • Chapter 7. Application of big data for sustainable rural development with special reference to MNREGA
  • Chapter 8. Challenges of digital technologies in the development of supply chains: a guide for their selection.

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