MLED_BI: a new BI Design Approach to Support Multilingualism in Business Intelligence

Dedic, Nedim and STANIER, Clare (2017) MLED_BI: a new BI Design Approach to Support Multilingualism in Business Intelligence. TEM Journal, 6 (4). pp. 771-782. ISSN 2217-8309

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Abstract or description

Existing approaches to support Multilingualism (ML) in Business Intelligence (BI) create problems for business users, present a number of challenges from the technical perspective, and lead to issues with logical dependence in the star schema. In this paper, we propose MLED_BI (Multilingual Enabled Design for Business Intelligence), a novel BI design approach to support the application of ML in BI Environment, which overcomes the issues and problems found with existing approaches. The approach is based on a revision of the data warehouse dimensional modelling approach and treats the Star Schema as a higher level entity. This paper describes MLED_BI and the validation and evaluation approach used.

Item Type:	Article
Faculty:	School of Computing and Digital Technologies > Computing
Depositing User:	Library STORE team
Date Deposited:	01 Aug 2018 13:01
Last Modified:	24 Feb 2023 13:51
URI:	https://eprints.staffs.ac.uk/id/eprint/4621

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