Proceedings of the 2018 4th International Conference on Education Technology, Management and Humanities Science (ETMHS 2018)

Big Data Application Research in the Private Enterprises Improves Efficiency

Authors
Xiaoyun Fan, Jianfeng Lu
Corresponding Author
Xiaoyun Fan
Available Online April 2018.
DOI
https://doi.org/10.2991/etmhs-18.2018.69How to use a DOI?
Keywords
Big data; Private enterprises; Efficiency
Abstract
In the era of big data, there are no obvious boundaries between consumers. Big data is the core of the private enterprise resources, has important effects on the business model of private enterprises, private enterprises, if not by big data more close to the consumers, a deep understanding of consumer demand, efficient analysis data and make reasonable anticipation, its decline is inevitable. Data is an asset, how to activate data assets, make it a private enterprise decision service, is the core issue of big data. Big data mainly comes from the internal operation information of private enterprises, interactive information in the Internet world. The amount of information is far beyond the capacity of existing IT architectures and infrastructure. The benefits of the big data era will set off a new wave of information investment and construction boom. In the era of big data, private enterprises face the challenges of culture, strategy, organization, process, information technology, public relations and personnel training. It also ushered in a major transformation opportunity.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Xiaoyun Fan
AU  - Jianfeng Lu
PY  - 2018/04
DA  - 2018/04
TI  - Big Data Application Research in the Private Enterprises Improves Efficiency
BT  - 2018 4th International Conference on Education Technology, Management and Humanities Science (ETMHS 2018)
PB  - Atlantis Press
SP  - 319
EP  - 323
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-18.2018.69
DO  - https://doi.org/10.2991/etmhs-18.2018.69
ID  - Fan2018/04
ER  -