Abstract
The Talburt-Wang Index (TWI) has proved to be a useful tool for assessing the outcomes of customer data integration (CDI) processes. However in practices, the question often arises as to whether the TWI value indicates any "significant difference" between two CDI outcomes. This paper proposes a method for calculating a measure of the significance of the variation indicated by the TWI values. The method (1) identifies the extreme values (the best and the worst values) for a quality index called Q, (2) maps the TWI on this range, and (3) calculates level of significance for TWI.
| Original language | English |
|---|---|
| State | Published - 2006 |
| Externally published | Yes |
| Event | 11th International Conference on Information Quality, ICIQ 2006 - Cambridge, MA, United States Duration: Nov 10 2006 → Nov 12 2006 |
Conference
| Conference | 11th International Conference on Information Quality, ICIQ 2006 |
|---|---|
| Country/Territory | United States |
| City | Cambridge, MA |
| Period | 11/10/06 → 11/12/06 |
Scopus Subject Areas
- Information Systems
- Safety, Risk, Reliability and Quality
Keywords
- And Significance Measure
- Customer Data Integration
- Data Quality
- Quality Index