An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Nedim Dedić, Clare Stanier

Abstract

In this paper we discuss Business Intelligence and define what is meant by support for Multilingualism in a Business Intelligence reporting context. We identify support for Multilingualism as a challenging issue which has implications for data warehouse design and reporting performance. Data warehouses are a core component of most Business Intelligence systems and the star schema is the approach most widely used to develop data warehouses and dimensional Data Marts. We discuss the way in which Multilingualism can be supported in the Star Schema and identify that current approaches have serious limitations which include data redundancy and data manipulation, performance and maintenance issues. We propose a new approach to enable the optimal application of multilingualism in Business Intelligence. The proposed approach was found to produce satisfactory results when used in a proof-of-concept environment. Future work will include testing the approach in an enterprise environment.

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Paper Citation


in Harvard Style

Dedić N. and Stanier C. (2016). An Evaluation of the Challenges of Multilingualism in Data Warehouse Development . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 196-206. DOI: 10.5220/0005858401960206


in Bibtex Style

@conference{iceis16,
author={Nedim Dedić and Clare Stanier},
title={An Evaluation of the Challenges of Multilingualism in Data Warehouse Development},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={196-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005858401960206},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Evaluation of the Challenges of Multilingualism in Data Warehouse Development
SN - 978-989-758-187-8
AU - Dedić N.
AU - Stanier C.
PY - 2016
SP - 196
EP - 206
DO - 10.5220/0005858401960206