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008 000405s2001 caua b 001 0 eng d
010 _a 00112074
011 _aBIB MATCHES WORLDCAT
020 _a0124558402
_qalk. paper
020 _a9780124558403
_qalk. paper
035 _a(DLC) 00112074
035 _a(OCoLC)43820637
040 _aDLC
_beng
_erda
_dCT
_dATU
042 _apcc
050 0 0 _aHD30.2.
_bL67 2001
082 0 _a658.4038
100 1 _aLoshin, David,
_d1963-
_eauthor.
_9277406
245 1 0 _aEnterprise knowledge management :
_bthe data quality approach /
_cDavid Loshin.
264 1 _aSan Diego :
_bMorgan Kaufmann,
_c[2001]
264 4 _c©2001
300 _axviii, 493 pages, 1 unnumbered pages :
_billustrations ;
_c24 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references (page 494) and index.
505 0 _aPreface -- 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.
588 _aMachine converted from AACR2 source record.
650 0 _aDatabase management
_9316463
650 0 _aKnowledge management.
_9328800
650 0 _aIndustrial management
_xData processing
_9370843
650 0 _aBusiness enterprises
_xData processing
_xManagement.
907 _a.b10151151
_b11-07-17
_c27-10-15
942 _cB
945 _a658.4038 LOS
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