A preliminary study of data quality measure with the emphasis on error criticality

Chung Yang Chen*, Chun Yi Kuo, Pei Chi Chen

*Corresponding author for this work

Research output: Contribution to conferenceConference Paperpeer-review

Abstract

This paper provides a preliminary result of developing a quality indication that amplifies the errors on critical data. This article presents an evolving process in data warehousing for explaining how the proposed measure is formulated, from external sources to being joined on a star schema. An analytical business example is provided for illustrating the rationale of the proposed measure and discussing how business decisions are impacted correspondingly.

Original languageEnglish
Pages590-595
Number of pages6
StatePublished - 2007
EventIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States
Duration: 19 05 200723 05 2007

Conference

ConferenceIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World
Country/TerritoryUnited States
CityNashville, TN
Period19/05/0723/05/07

Keywords

  • Data quality
  • Data warehousing
  • Process approach
  • Quality measure

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