Visualisation of data quality in decision-support systems
by Viveca Asproth
International Journal of Applied Systemic Studies (IJASS), Vol. 1, No. 3, 2007

Abstract: When designing a decision-support system, much effort is made to find the best fitting models and to examine which data to include and which algorithms to use. However, the error propagation involved in poor data quality can deteriorate dramatically the accuracy of the output results. The user of the system is often unaware of the weaknesses and deficiencies in data quality. In this paper, analysis and evaluation of data quality is discussed. Further, the paper introduces visualisation aids into the system to help augment our awareness of the underlying data quality in decision-support systems and guide our focus of attention.

Online publication date: Thu, 27-Mar-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Applied Systemic Studies (IJASS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com