Data Quality Requirements Analysis And Modeling

Cover Data Quality Requirements Analysis And Modeling
Data Quality Requirements Analysis And Modeling
Y Richard Yng Yuh Richard Wang
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2. 1. Selection 18 4. 3. 2. 2. Projection 19 4. 3. 2. 3. Union 20 4. 3. 2. 4. Difference 22 4. 3. 2. 5. Cartesian Product 24 5. Discussion and future directions 25 6. References 27 7. Appendix A: Premises about data quality requirements analysis 29 7. 1. Premises related to data quality modeling 29 7. 2. Premises related to data quality definitions and standards across users 30 7. 3. Premises related to a single user 30 Toward Quality Data: An Attribute-Based Approach 1. Introduction Organizati...ons in industries such as banking, insurance, retail, consumer marketing, and health care are increasingly integrating their business processes across functional, product, and geographic lines. The integration of these business processes, in turn, accelerates demand for more effective application systems for product development, product delivery, and customer service (Rockart & Short, 1989). As a result, many applications today require access to corporate functional and product databases. Unfortunately, most databases are not error-free, and some contain a surprisingly large number of errors (Johnson, Leitch, & Neter, 1981).

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