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

• Main Authors: Nedim Dedić, Clare Stanier
• Format: Article
• Language: English
• Published: UIKTEN 2017-11-01
• Series: TEM Journal
• Subjects: Multilingualism; Data Warehouse; Business Intelligence; Data Mart Implementation; BI Design Approach
• Online Access: http://www.temjournal.com/content/64/TemJournalNovember2017_771_782.pdf

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.