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

Journal: TEM JOURNAL - Technology, Education, Management, Informatics (Vol.6, No. 4)

Publication Date:

Authors : ;

Page : 771-782

Keywords : Multilingualism; Data Warehouse; Business Intelligence; Data Mart Implementation; BI Design Approach;

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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.

Last modified: 2017-12-07 07:22:05