Proceedings of the 2016 International Conference on Engineering Management (Iconf-EM 2016)

An Open-Source Solution of Business Intelligence in China Railway Passenger Transportation Decision Support

Authors
Jianxiong Wang, Nan Wang
Corresponding Author
Jianxiong Wang
Available Online January 2017.
DOI
10.2991/iconfem-16.2016.23How to use a DOI?
Keywords
Open-Source; business intelligence; Decision Support; railway passenger transport marketing; Pentaho
Abstract

An Open-Source solution based on Pentaho is described in this paper for constructing railway passenger transport marketing assistant decision system as alternative of commercial software, solving the problem of being lack of user custom properties, which will save project costs, and has good expansibility.Furthermore, some key technologies are introduced including ETL design of kettle, cube design and OLAP analysis, reporting and self-customized report plugin,which may lead a deeper research.

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 Engineering Management (Iconf-EM 2016)
Series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-280-0
ISSN
2352-5428
DOI
10.2991/iconfem-16.2016.23How 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  - Jianxiong Wang
AU  - Nan Wang
PY  - 2017/01
DA  - 2017/01
TI  - An Open-Source Solution of Business Intelligence in China Railway Passenger Transportation Decision Support
BT  - Proceedings of the 2016 International Conference on Engineering Management (Iconf-EM 2016)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/iconfem-16.2016.23
DO  - 10.2991/iconfem-16.2016.23
ID  - Wang2017/01
ER  -