Supporting business intelligence usage: An integrated framework with automatic weighting

Chin Hoong Chee, William Yeoh, Hung Khoon Tan, Mong Shan Ee

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)301-312
Number of pages12
JournalJournal of Computer Information Systems
Volume56
Issue number4
DOIs
Publication statusPublished - 2016
Externally publishedYes

Keywords

  • Automatic weight assignment
  • Business intelligence (BI)
  • Data quality (DQ)
  • Design science
  • Information manufacturing

Fingerprint

Dive into the research topics of 'Supporting business intelligence usage: An integrated framework with automatic weighting'. Together they form a unique fingerprint.

Cite this