The Exploration of Enterprise E-Commerce Intelligence System

DOI

10.2991/emcs-16.2016.33How to use a DOI?

Keywords

E-commerce; Intelligence System; Competitive Intelligence; Business Intelligence;Information Technology

Abstract

Enterprise e-commerce intelligence system, which is used in the e-commerce enterprise to carry on the information processing and the information mining, has gradually become the key factor that decides the e-commerce enterprise`s competition ability. This paper explores the enterprise electronic business intelligence system in 6 aspects. The Enterprise e-commerce intelligence system is formed of the enterprise network system, the enterprise management information system, the enterprise e-commerce website and the enterprise competitive intelligence system. And its functions are determined by these 4 parts, such as supply chain management, financial management, sales management, production control and management, customer management, logistics management, enterprise knowledge management, electronic banking, cargo transfer monitoring the environment, mining the market opportunities and the threats, the analysis of reality competitors and potential competitors, crisis expect and intelligence forecast, technical and business tracking, strategy development and security and other functions etc. The key techniques are OLAP, OLTP, database, personalized recommendation, data mining, data warehouse, visualization etc. This research provides useful reference for the construction and the researching of the enterprise e-commerce intelligence system.

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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TY  - CONF
AU  - Dehui Li
PY  - 2016/01
DA  - 2016/01
TI  - The Exploration of Enterprise E-Commerce Intelligence System
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 133
EP  - 136
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.33
DO  - 10.2991/emcs-16.2016.33
ID  - Li2016/01
ER  -