Applications of Big Data and Business Analytics in Management

Applications of Big Data and Business Analytics in Management

Sneha Kumari (Vaikunth Mehta National Institute of Cooperative Management, India), K. K. Tripathy (Vaikunth Mehta National Institute of Cooperative Management, India) and Vidya Kumbhar (Symbiosis International (Deemed University), India)
Projected Release Date: June, 2020|Copyright: © 2020 |Pages: 300
ISBN13: 9781799832614|ISBN10: 1799832619|EISBN13: 9781799832638|DOI: 10.4018/978-1-7998-3261-4

Description

Today, most organizations have realized the importance of data-driven decision making. New advances in artificial intelligence and machine learning mean that data can be applied in brand new ways, and in unprecedented modeling systems, to do much more than was possible just a few years ago. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. However, the rate of absorption of analytics in decision making is slow. Businesses must develop better understandings of descriptive, predictive, and prescriptive analytics in order to increase decision-making capabilities.

Applications of Big Data and Business Analytics in Management is a collection of innovative research that provides interdisciplinary research on data science and presents strategies for integrating analytical methods into decision making and performance management within businesses. Highlighting topics including big data theory, disaster management, and business intelligence, this book is ideally designed for managers, executives, data scientists, data analysts, engineers, computer technicians, entrepreneurs, security professionals, researchers, academicians, and students.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Agribusiness Management
  • Big Data Theory
  • Business Analytics
  • Business Intelligence
  • Collections Analytics
  • Data Management
  • Data Systems
  • Data Visualization
  • Disaster Management
  • Performance Measurement
  • Predictive Analytics
  • Processing Tools

Table of Contents and List of Contributors

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