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Supporting business intelligence usage: an integrated framework with automatic weighting

Version 2 2024-06-03, 17:53
Version 1 2016-06-24, 13:56
journal contribution
posted on 2024-06-03, 17:53 authored by CH Chee, William YeohWilliam Yeoh, HK Tan, Mong Shan EeMong Shan Ee
This paper presents an integrated framework that comprises an automatic weighting method for assessing data quality (DQ) of the framework so as to better support the business intelligence (BI) usage. Specifically, we utilize business process modeling (BPM) notation and information product map and frame them into a hierarchical mapping structure. Furthermore, we develop and demonstrate an automatic weight-assignment method for evaluating critical dimensions (i.e., completeness and accuracy) of DQ of the integrated framework. Through a design science paradigm, the effectiveness of the framework and the associated DQ weighting method has been rigorously validated by faculty management users of a university. The framework together with the DQ weighting method builds user confidence by enhancing the traceability of a BI product. The automatic DQ weight assignment also provides better time efficiency because the weight of each data attribute is determined automatically based on its usage on the BI dashboard.

History

Journal

Journal of computer information systems

Volume

56

Pagination

301-312

Location

London, Eng.

ISSN

0887-4417

Language

eng

Publication classification

C1 Refereed article in a scholarly journal, C Journal article

Copyright notice

2016, Taylor & Francis

Issue

4

Publisher

Taylor & Francis