Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)

The Reflections of Enterprise Management Decisions in the Big Data Background

Authors
Zewei Li
Corresponding Author
Zewei Li
Available Online April 2016.
DOI
10.2991/icemct-16.2016.80How to use a DOI?
Keywords
big data; enterprise management; decisions
Abstract

With the widespread use of ICT, particularly the expansionary development of cloud computing and processing technology, the human society entered into the information age of data processing supported by large data. Based on rich experience from many years’ work, the author, first of all, analyzes enterprise management decisions system supported by big data, and, in the background of big data, discusses the plight of enterprise management decisions, and finally puts forward the countermeasures to enterprise management decisions. For enterprises, enterprise management decisions, in the era of big data, is a new model, which may bring about changes in the business model.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2016
ISBN
10.2991/icemct-16.2016.80
ISSN
2352-5398
DOI
10.2991/icemct-16.2016.80How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zewei Li
PY  - 2016/04
DA  - 2016/04
TI  - The Reflections of Enterprise Management Decisions in the Big Data Background
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 370
EP  - 374
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.80
DO  - 10.2991/icemct-16.2016.80
ID  - Li2016/04
ER  -