Items related to Data Quality Requirements Analysis and Modeling (Classic...
Synopsis
Excerpt from Data Quality Requirements Analysis and Modeling<br/><br/>Computerworld, September 28, 1992, p. 80-84. The Wall Street Journal, May 26, 1992, page B6. Just like the well publicized concept of zero defect products in the manufacturing literature.high for the vital few projects whereas the trivial many defects are not worth tackling because the cure costs more than the disease (juran Gryna, In sum, when the cost is prohibitively high, it is not feasible to attain zero defect data. Given that zero defect data may not always be necessary nor attainable, it would be useful to be able to judge the quality of data. This suggests that we tag data with quality indicators which are characteristics of the data and its manufacturing process. From these quality indicators, the user can make a judgment of the quality of the data for the specific application at hand. In making a financial decision to purchase stocks, for example, it would be useful to know the quality of data through quality indicators such as who originated the data, when the data was collected, and how the data was collected.
"synopsis" may belong to another edition of this title.
- PublisherForgotten Books
- Publication date2020
- ISBN 10 1332257127
- ISBN 13 9781332257126
- BindingPaperback
- LanguageEnglish
- Number of pages42
Buy New
View this item
US$ 17.34
FREE shipping from United Kingdom to U.S.A.
Destination, rates & speedsOther Popular Editions of the Same Title
Search results for Data Quality Requirements Analysis and Modeling (Classic...
Seller Image
Data Quality Requirements Analysis and Modeling (Classic Reprint)
Print on DemandSeller: Forgotten Books, London, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Print on Demand. This book explores the concept of data quality, arguing that it is a multidimensional, hierarchical concept that can be applied to data at the cell level. Drawing on examples from various industries, the author presents a data quality requirements analysis methodology that can be used to identify the quality parameters and indicators that are important to a particular application. The book also introduces an attribute -based data model that can be used to store, retrieve, and process quality indicators, and presents a quality indicator algebra that can be used to manipulate quality indicators. The book concludes by discussing the importance of data quality management, and provides a set of guidelines for implementing a data quality program. The author's insights on data quality are significant because they provide a framework for understanding the concept and developing strategies for improving it. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332257126_0
Quantity: Over 20 available
Stock Image
Data Quality Requirements Analysis and Modeling Classic Reprint
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332257126
Quantity: 15 available
Stock Image
Data Quality Requirements Analysis and Modeling Classic Reprint
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332257126
Quantity: 15 available
Stock Image
Data Quality Requirements Analysis and Modeling (Classic Reprint)
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 44 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 26076648/2
Quantity: 1 available