书目详情:
CHAPTER 1: THE NEED FOR DATA GOVERNANCESins of the pastWhere are the metrics?Unnecessary complexityETL and data warehouseBuilding more efficiencyThe value of an acquisitionDecisions based on gutData governance and being greenImproving compliance with BASEL II and SOXDesignated terrorist organizationsWhy data governance?Who needs data governance?CHAPTER 2: WHAT IS DATA GOVERNANCE?Defining data governance by its benefitsCHAPTER 3: DEFINING DATA GOVERNANCE SUCCESSGeneric data governance success factorsSpecific data governance successCHAPTER 4: GETTING FUNDED FOR IQ PROJECTSThe data championReturn on investmentPicking the right projectsBuilding credibilityLeveraging a crisisLeveraging new initiativesConversation startersThe “do nothing” optionOvercoming objections to data governanceCHAPTER 5: PEOPLE – WHAT DOES A DATA GOVERNANCE TEAM LOOK LIKE?Data governance roles and responsibilitiesData governance councilTeam performance goalsMethodologiesCHAPTER 6: PAINTING THE PICTUREMission statementCommunication strategiesHaving productive meetingsTools to communicateGetting the dataData governance workshopsBuilding a useful data quality scorecardViews of data quality scorecardWhich key metrics do I track?CHAPTER 7: FIXING YOUR DATACauses and actionsInformation quality and data-intensive projectsSix phases of a data-intensive projectPhase 1: Project preparationPhase 2: Making the blueprintPhase 3: ImplementPhase 4: Rollout preparationPhase 5: Go livePhase 6: MaintainCHAPTER 8: TECHNOLOGIES THAT SUPPORT DATA GOVERNANCETypes of data governance technologiesPreventativeDiagnostic and healthInfrastructureEnrichmentCHAPTER 9: THE AUDACITY OF DATA GOVERNANCECHAPTER 10: CASE STUDY – BTMeager beginningsLessons learnedITG RESOURCES
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