LEADER 03636oam 22007574a 450 001 9910777621603321 005 20190503073336.0 010 $a0-262-30002-8 010 $a1-282-09653-2 010 $a0-262-25654-1 010 $a1-4294-1614-9 035 $a(CKB)1000000000466014 035 $a(EBL)3338616 035 $a(SSID)ssj0000518704 035 $a(PQKBManifestationID)12209498 035 $a(PQKBTitleCode)TC0000518704 035 $a(PQKBWorkID)10494871 035 $a(PQKB)10241087 035 $a(SSID)ssj0000186268 035 $a(PQKBManifestationID)11170812 035 $a(PQKBTitleCode)TC0000186268 035 $a(PQKBWorkID)10218628 035 $a(PQKB)11111604 035 $a(CaBNVSL)mat06267297 035 $a(IDAMS)0b000064818b429f 035 $a(IEEE)6267297 035 $a(OCoLC)76827573$z(OCoLC)148736937$z(OCoLC)228172333$z(OCoLC)228172335$z(OCoLC)473862317$z(OCoLC)482865299$z(OCoLC)568000727$z(OCoLC)648225743$z(OCoLC)676866558$z(OCoLC)722565668$z(OCoLC)728037274$z(OCoLC)755267595$z(OCoLC)815776312$z(OCoLC)839793151$z(OCoLC)883805358$z(OCoLC)961581404$z(OCoLC)962620055$z(OCoLC)966199533$z(OCoLC)974193388$z(OCoLC)974443782$z(OCoLC)981978014$z(OCoLC)982012381$z(OCoLC)988508044$z(OCoLC)991914369$z(OCoLC)991994681$z(OCoLC)1005640171$z(OCoLC)1018045949$z(OCoLC)1037491114$z(OCoLC)1037911813$z(OCoLC)1038643656$z(OCoLC)1041656041$z(OCoLC)1047684635$z(OCoLC)1055384167$z(OCoLC)1064968350$z(OCoLC)1083604183 035 $a(OCoLC-P)76827573 035 $a(MaCbMITP)4037 035 $a(Au-PeEL)EBL3338616 035 $a(CaPaEBR)ebr10173676 035 $a(CaONFJC)MIL209653 035 $a(OCoLC)76827573 035 $a(MiAaPQ)EBC3338616 035 $a(PPN)17024508X 035 $a(EXLCZ)991000000000466014 100 $a20061130d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aJourney to data quality /$fYang W. Lee [and others] 210 $aCambridge, Mass. $cMIT Press$dİ2006 215 $a1 online resource (241 p.) 300 $aDescription based upon print version of record. 311 $a0-262-51335-8 311 $a0-262-12287-1 320 $aIncludes bibliographical references (p. [215]-221) and index. 327 $aPreface; Acknowledgments; 1 Introduction; 2 Cost/Benefit Analysis; 3 Assessing Data Quality, Part I; 4 Assessing Data Quality, Part II; 5 Sampling for Data Quality Assurance; 6 Understanding the Anatomy of Data Quality Problems and Patterns; 7 Identifying Root Causes of Data Quality Problems: A Case of a Health Care Organization; 8 Managing Information as Product; 9 Developing Information Product Maps; 10 Data Quality Initiatives: A Case of a Large Teaching Hospital; 11 Data Quality Policy; 12 End of the Journey?; References; Index 330 $aA guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality management program, based on rigorous research and drawing on real-world examples. 606 $aBusiness$xData processing$xManagement 606 $aDatabase management$xQuality control 610 0 $aprocesiranje podatkov 610 $aINFORMATION SCIENCE/Data Science 610 $aINFORMATION SCIENCE/Library Science 615 0$aBusiness$xData processing$xManagement. 615 0$aDatabase management$xQuality control. 676 $a658.4/038 701 $aLee$b Yang W$01583322 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910777621603321 996 $aJourney to data quality$93866306 997 $aUNINA