Data quality: The Achilles heel of end-user computing

Ma Janson

Omega, 1988, vol. 16, issue 5, 491-502

Abstract: Data quality is an important factor in the success or failure of end-user developed information systems. However, experience shows that in some practical situations data of poor quality are the norm rather than the exception. The evidence in this study demonstrates that exploratory statistical techniques can significantly improve data quality during all phases of data acquisition. More importantly, however, these techniques are especially crucial to quality control and to the validation of data already collected.

Date: 1988
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0305-0483(88)90022-9
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:16:y:1988:i:5:p:491-502

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Omega is currently edited by B. Lev

More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().