Visualization-based decision support systems: An example of regional relationship data

Vicki L. Sauter, Srikanth Mudigonda, Ashok Subramanian, Ray Creely

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Increasingly, decision makers are incorporating large quantities of interrelated data in their decision making. Decision support systems need to provide visualization tools to help decision makers glean trends and patterns that will help them design and evaluate alternative actions. While visualization software that might be incorporated into decision support systems is available, the literature does not provide sufficient guidelines for selecting among possible visualizations or their attributes. This paper describes a case study of the development of a visualization component to represent regional relationship data. It addresses the specific information goals of the target organization, various constraints that needed to be satisfied, and how the goals were achieved via a suitable choice of visualization technology and visualization algorithms. The development process highlighted the need for specific visualizations to be driven by the specific problem characteristics as much as general rules of visualization. Lessons learned during the process and how these lessons may be generalized to address similar requirements is presented.

Original languageEnglish (US)
Title of host publicationEngineering Effective Decision Support Technologies
Subtitle of host publicationNew Models and Applications
PublisherIGI Global
Pages162-180
Number of pages19
ISBN (Electronic)9781466640030
ISBN (Print)1466640022, 9781466640023
DOIs
StatePublished - May 31 2013
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science
  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting

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