A Study on Growth Process Model of Enterprise Information System in the Era of Big Data--Statistical Information System of Freight Train Formation
Authors
Senling Chen, Wenli Zhang, Xiaofei Li, Jian Jin
Corresponding Author
Senling Chen
Available Online April 2016.
- DOI
- 10.2991/ameii-16.2016.31How to use a DOI?
- Keywords
- Information System, Growth Process Model, Big Data
- Abstract
This paper focused on the railway transportation industry in the era of big data, and researched on the Statistical Information System of Freight Train Formation, collected its business data in 311train operation depots of 18 railway bureau as total sample and 35 statistical targets as dependent variables, computed the precision of the system based on the business rule and took it as the independent variable. With SPSS, this paper analyzed the collected business data by stepwise regression analysis and mined the value of big business data in the growth process of enterprise information system, and then explored the rule of the information system in railway enterprises whose informatization could be effectively improved and optimized.
- 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 - Senling Chen AU - Wenli Zhang AU - Xiaofei Li AU - Jian Jin PY - 2016/04 DA - 2016/04 TI - A Study on Growth Process Model of Enterprise Information System in the Era of Big Data--Statistical Information System of Freight Train Formation BT - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016) PB - Atlantis Press SP - 150 EP - 154 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-16.2016.31 DO - 10.2991/ameii-16.2016.31 ID - Chen2016/04 ER -