01684cam a2200289 a 4500999001500000001000900015003000400024005001700028008004100045010001700086020003800103040001800141050002600159082001700185100002600202245007400228260004700302300003600349500002000385505068000405650004201085650003201127650004001159906004501199942001301244952013701257  c7044d704416310234OSt20210913150844.0100630s2011    maua          001 0 eng    a  2010025189  a9780123737175 (pbk. : alk. paper)  aDLCcDLCdDLC00aQA76.9.D3bL6934 201100a005.74062221 aLoshin, David,d1963-14aThe Practitioner's Guide to Data Quality Improvement /cDavid Loshin.  aBurlington, MA :bMorgan Kaufmann,cc2011.  axxiii, 398 p. :bill. ;c24 cm.  aIncludes index.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. 0aDatabase managementxQuality control. 0aDatabasesxQuality control. 0aInformation managementxManagement.  a7bcbccorignewd1eecipf20gy-gencatlg  2lcccMON  00102lcc4070a001b001d2020-02-14edonation from kul0oQA76.9.D3 L6934 2011p2020-1260r2020-02-14 00:00:00t1w2020-02-14yMON