Vol.6, No.4, November 2017.                                                                                                                                                                   ISSN: 2217-8309

                                                                                                                                                                                                                eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

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


Nedim Dedić, Clare Stanier


© 2017 Nedim Dedić, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 6, Issue 4, Pages 771-782, ISSN 2217-8309, DOI: 10.18421/TEM64-17, November 2017.


Received: 18 August 2017

Accepted: 12 October 2017

Published: 27 November 2017




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.


Keywords –Multilingualism, Data Warehouse, Business Intelligence, Data Mart Implementation, BI Design Approach.



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