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Enterprise knowledge management : the data quality approach /

Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Loshin, David, 1963-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Morgan Kaufmann, �2001.
Colección:Morgan Kaufmann Series in Data Management Systems Ser.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Loshin, David,  |d 1963- 
245 1 0 |a Enterprise knowledge management :  |b the data quality approach /  |c David Loshin. 
260 |a San Diego :  |b Morgan Kaufmann,  |c �2001. 
300 |a 1 online resource (xviii, 493 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a The Morgan Kaufmann Series in Data Management Systems Ser. 
520 |a Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem businesses recognize and are working feverishly to solve. Enterprise Knowledge Management: The Data Quality Approach presents an easily adaptable methodology for defining, measuring, and improving data quality. Author David Loshin begins by presenting an economic framework for understanding the value of data quality, then proceeds to outline data quality rules and domain-and mapping-based approaches to consolidating enterprise knowledge. Written for both a managerial and a technical audience, this book will be indispensable to the growing number of companies committed to wresting every possible advantage from their vast stores of business information. Key Features * Expert advice from a highly successful data quality consultant * The only book on data quality offering the business acumen to appeal to managers and the technical expertise to appeal to IT professionals * Details the high costs of bad data and the options available to companies that want to transform mere data into true enterprise knowledge * Presents conceptual and practical information complementing companies' interest in data warehousing, data mining, and knowledge discovery. 
505 0 |a Preface -- Chapter 1 -- Introduction -- Chapter 2 -- Who Owns Information? -- Chapter 3 -- Data Quality in Practice -- Chapter 4 -- Economic Framework of Data Quality and the Value Proposition -- Chapter 5 -- Dimensions of Data Quality -- Chapter 6 -- Statistical Process Control and the Improvement Cycle -- Chapter 7 -- Domains, Mappings, and Enterprise Reference Data -- Chapter 8 -- Data Quality Assertions and Business Rules -- Chapter 9 -- Measurement and Current State Assessment -- Chapter 10 -- Data Quality Requirements -- Chapter 11 -- Metadata, Guidelines, and Policy -- Chapter 12 -- Rule-Based Data Quality -- Chapter 13 -- Metadata and Rule Discovery -- Chapter 14 -- Data Cleansing -- Chapter 15 -- Root Cause Analysis and Supplier Management -- Chapter 16 -- Data Enrichment/Enhancement -- Chapter 17 -- Data Quality and Business Rules in Practice -- Chapter 18 -- Building the Data Quality Practice. 
500 |a Includes index. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
546 |a English. 
650 0 |a Knowledge management. 
650 0 |a Industrial management  |x Data processing. 
650 0 |a Information technology  |x Management. 
650 0 |a Business enterprises  |x Data processing  |x Management. 
650 2 |a Knowledge Management  |0 (DNLM)D058436 
650 6 |a Gestion des connaissances.  |0 (CaQQLa)201-0306548 
650 6 |a Gestion  |x Informatique.  |0 (CaQQLa)201-0033709 
650 6 |a Technologie de l'information  |x Gestion.  |0 (CaQQLa)000264687 
650 6 |a Entreprises  |0 (CaQQLa)201-0000343  |x Informatique  |0 (CaQQLa)201-0380011  |x Gestion.  |0 (CaQQLa)201-0380063 
650 7 |a Business enterprises  |x Data processing  |x Management.  |2 fast  |0 (OCoLC)fst00842544 
650 7 |a Industrial management  |x Data processing.  |2 fast  |0 (OCoLC)fst00971260 
650 7 |a Information technology  |x Management.  |2 fast  |0 (OCoLC)fst00973112 
650 7 |a Knowledge management.  |2 fast  |0 (OCoLC)fst00988184 
650 7 |a Data-Warehouse-Konzept  |2 gnd  |0 (DE-588)4406462-7 
650 7 |a Informationsmanagement  |2 gnd  |0 (DE-588)4114012-6 
650 7 |a Wissensmanagement  |2 gnd  |0 (DE-588)4561842-2 
776 0 8 |i Print version:  |a Loshin, David, 1963-  |t Enterprise knowledge management.  |d San Diego : Morgan Kaufmann, �2001  |z 0124558402  |z 9780124558403  |w (DLC) 00112074  |w (OCoLC)43820637 
830 0 |a Morgan Kaufmann Series in Data Management Systems Ser. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780124558403  |z Texto completo