The full text of this article

 

Data quality initiatives: striving for continuous improvements
by Sing What Tee, Paul L. Bowen, Peta Doyle, Fiona H. Rohde
International Journal of Information Quality (IJIQ), Vol. 1, No. 4, 2007

 

Abstract: Although managers consider accurate, timely, and relevant information as critical to the quality of their decisions, evidence of large variations in Data Quality (DQ) abounds. Over a period of 12 months, the research project reported herein investigated and tracked DQ initiatives undertaken by the participating organisation. The results confirmed that, to ensure and maintain DQ, commitment to continuous DQ improvement is necessary. Most importantly, the research found that sustaining DQ gains requires mutual understanding by operations personnel, management, and funding sources as well as the provision of adequate incentives and modifications to institutional constraints.

Online publication date: Thu, 17-Jan-2008

 

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 Information Quality (IJIQ):
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