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 language | English |
---|---|
Pages | 590-595 |
Number of pages | 6 |
State | Published - 2007 |
Event | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States Duration: 19 May 2007 → 23 May 2007 |
Conference
Conference | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World |
---|---|
Country/Territory | United States |
City | Nashville, TN |
Period | 19/05/07 → 23/05/07 |
Keywords
- Data quality
- Data warehousing
- Process approach
- Quality measure