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Titlebook: Information and Database Quality; Mario G. Piattini,Coral Calero,Marcela Genero Book 2002 Springer Science+Business Media New York 2002 da

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发表于 2025-3-21 16:09:15 | 显示全部楼层 |阅读模式
书目名称Information and Database Quality
编辑Mario G. Piattini,Coral Calero,Marcela Genero
视频video
丛书名称Advances in Database Systems
图书封面Titlebook: Information and Database Quality;  Mario G. Piattini,Coral Calero,Marcela Genero Book 2002 Springer Science+Business Media New York 2002 da
描述In a global and increasingly competitive market, whereorganizations are driven by information, the search for ways totransform data into true knowledge is critical to a business‘ssuccess.Few companies, however, have effective methods of managingthe quality of this information.Because quality is amultidimensional concept, its management must consider a wide varietyof issues related to information and data quality. .Information andDatabase Quality. is a compilation of works from research andindustry that examines these issues, covering both the organizationaland technical aspects of information and data quality. ..Information and Database Quality. is an excellent reference forboth researchers and professionals involved in any aspect ofinformation and database research.
出版日期Book 2002
关键词database; databases; design; education; information
版次1
doihttps://doi.org/10.1007/978-1-4615-0831-1
isbn_softcover978-1-4613-5260-0
isbn_ebook978-1-4615-0831-1Series ISSN 1386-2944
issn_series 1386-2944
copyrightSpringer Science+Business Media New York 2002
The information of publication is updating

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1386-2944 formation and data quality. ..Information and Database Quality. is an excellent reference forboth researchers and professionals involved in any aspect ofinformation and database research.978-1-4613-5260-0978-1-4615-0831-1Series ISSN 1386-2944
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Total Quality data Management (TQdM),sment, cleansing (corrective maintenance), process improvement (preventive maintenance using the PDCA (Plan-Do-Check-Act) Cycle) and culture transformation as defined in English (1999)..TQdM is a registered trademark of INFORMATION IMPACT International, Inc.
发表于 2025-3-22 04:45:01 | 显示全部楼层
Quality in Data Warehousing,iding dirty data, imprecise data or non coherent data may lead to the rejection of the decision support system or may result into non productive decisions. This chapter provides a general framework for data warehouse design based on quality.
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Metrics for databases: a way to assure the quality,ssuring the quality of the databases designs is by using metrics. In this chapter, we will be to give a series of guidelines which allow us to learn how metrics can be developed, in such a way that they can be used to achieve a specific objective related with the quality database design.
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