000 01576nam a2200265 a 4500
001 vtls000056588
003 KUKTEM
005 20251125093058.0
008 111205t2011 maua f 001 0 eng d
020 _a9780123737175 (pbk. : alk. paper)
039 9 _a201212031259
_bida
_c201203231048
_dasmadi
_y201112051454
_zsri
040 _aUMP
090 _aQA76.9.D3 L67 2011
100 1 _aLoshin, David
245 1 4 _aThe practitioner’s guide to data quality improvement /
_cDavid Loshin
260 _aBurlington, MA. :
_bMorgan Kaufmann,
_c2011
300 _axxiii, 398 p. :
_bill. ;
_c24 cm.
500 _aIncludes index
505 0 _aBusiness impacts of poor data quality -- The organizational data quality program -- Data quality maturity -- Enterprise initiative integration -- Developing a business case and a data quality roadmap -- Metrics and performance improvement -- Data governance -- Dimensions of data quality -- Data requirement analysis -- Metadata and data standard -- Data quality assessment -- Remediation and improvement planning -- Data quality service level agreements -- Data profiling -- Parsing and standardization -- Entity identity resolution -- Inspection, monitoring, auditing, and tracking -- Data enhancement -- Master data management and data quality -- Bringing it all together
650 0 _aDatabase management
_xQuality control
650 0 _aDatabases
_xQuality control
650 0 _aInformation management
_xManagement
999 _aVIRTUA40
_c61198
_d61204
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5050*6500*6501*6502*9992
942 0 0 _02