Reference Hub9
Intelligent Big Data Analytics: A Managerial Perspective

Intelligent Big Data Analytics: A Managerial Perspective

Copyright: © 2019 |Pages: 19
ISBN13: 9781522572770|ISBN10: 1522572775|ISBN13 Softcover: 9781522588597|EISBN13: 9781522572787
DOI: 10.4018/978-1-5225-7277-0.ch001
Cite Chapter Cite Chapter

MLA

Sun, Zhaohao. "Intelligent Big Data Analytics: A Managerial Perspective." Managerial Perspectives on Intelligent Big Data Analytics, edited by Zhaohao Sun, IGI Global, 2019, pp. 1-19. https://doi.org/10.4018/978-1-5225-7277-0.ch001

APA

Sun, Z. (2019). Intelligent Big Data Analytics: A Managerial Perspective. In Z. Sun (Ed.), Managerial Perspectives on Intelligent Big Data Analytics (pp. 1-19). IGI Global. https://doi.org/10.4018/978-1-5225-7277-0.ch001

Chicago

Sun, Zhaohao. "Intelligent Big Data Analytics: A Managerial Perspective." In Managerial Perspectives on Intelligent Big Data Analytics, edited by Zhaohao Sun, 1-19. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7277-0.ch001

Export Reference

Mendeley
Favorite

Abstract

Intelligent big data analytics is an emerging paradigm in the age of big data, analytics, and artificial intelligence (AI). This chapter explores intelligent big data analytics from a managerial perspective. More specifically, it first looks at the age of trinity and argues that intelligent big data analytics is at the center of the age of trinity. This chapter then proposes a managerial framework of intelligent big data analytics, which consists of intelligent big data analytics as a science, technology, system, service, and management for improving business decision making. Then it examines intelligent big data analytics for management taking into account four managerial functions: planning, organizing, leading, and controlling. The proposed approach in this chapter might facilitate the research and development of intelligent big data analytics, big data analytics, business intelligence, artificial intelligence, and data science.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.