Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Research on Intelligent Marketing Mode of Power under the Background of Big Data

Authors
Shunchao Wang, Songxue Hou, Hong Shen, Yan Liu, Xiaochun Zhang
Corresponding Author
Shunchao Wang
Available Online December 2017.
DOI
https://doi.org/10.2991/mcei-17.2017.85How to use a DOI?
Keywords
Big Data; Power Enterprise; Intelligent Marketing
Abstract
This paper first defines the concept of the power big data and intelligent marketing, and then describes the status of power marketing in developed countries such as the United States, Japan and Britain, and then analyzes the pressure the traditional marketing mode of traditional power of China is facing at current stage, and based on this, proposes constructing new intelligent marketing mode of power under the background of big data. Which means taking big data platform as data support, it forms continuous closed loop mode by "power marketing data collection----data analysis----mode construction----intelligent evaluation", and finally gives specific strategies for implementation of intelligent marketing mode of power.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Part of series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-17.2017.85How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shunchao Wang
AU  - Songxue Hou
AU  - Hong Shen
AU  - Yan Liu
AU  - Xiaochun Zhang
PY  - 2017/12
DA  - 2017/12
TI  - Research on Intelligent Marketing Mode of Power under the Background of Big Data
BT  - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.85
DO  - https://doi.org/10.2991/mcei-17.2017.85
ID  - Wang2017/12
ER  -