Enhancing Business Intelligence Quality with Visualization: An Experiment on Stakeholder Network Analysis

Wingyan Chung

Abstract


Business intelligence (BI) has gained a strategic importance in today’s global competitive
environment. However, high-quality BI is not easy to obtain on the Web due to information
overload and difficulty to present complicated relationships among various types of business
stakeholders. Unfortunately, existing BI tools lack the capability of analyzing and visualizing
such relationships and research on BI systems is sparse. In this paper, we review the current
market of BI tools and related research, describe an approach to support the development of
tools that provide high-quality BI, and report the findings of a user evaluation study of the
prototype developed based on the proposed approach. The approach combines information
visualization and Web mining techniques with human knowledge to enable business analysts to
analyze and visualize complicated business stakeholder relationships. Results of an experiment
involving 62 subjects show that the prototype significantly outperformed a traditional method of
BI analysis in terms of efficiency, quality of BI, and user satisfaction. The subjects provided
favorable comments and expressed strong preferences toward the prototype in most
applications. This research contributes to advancing BI research and to providing new empirical
findings for BI systems evaluation.

Full Text:

PDF
Views 2353

Chung, W. (2009). " Enhancing Business Intelligence Quality with Visualization: An Experiment on Stakeholder Network Analysis "Pacific Asia Journal of the Association for Information Systems, 1(1), pp.33-53.