CMMI数据管理成熟度模型DMM导论资料下载.pdf
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ServicesCMMIInstituteDevelopmentleadandprimaryauthor,DataManagementMaturity(DMM)SMModelLedcreationofDMMAssessmentmethodLeadingdevelopmentofDMMTrainingandCertificationcourses30+yearsdatamanagement/dataarchitecture7yearsEnterpriseArchitecture(FEA)ProgramdesignandimplementationEDMExpert(EDME).2PresentationObjectivesIntroductiontotheModelModeldrivers,themes,conceptsandstructureHowanorganizationsprogramisevaluatedComplementaritywithbodiesofknowledgeandstandardsUsecasesfortheDMM.IntroductiontothesupportinginfrastructureTrainingCertificationsDMMPartners/DMMCommunity.3AgendaIntroductiontotheDMMWhatisit-whydidwedevelopitWhyourindustryneedsitWhatisitsstructureandapproachDMMinActionDMMAssessmentsUseCasesHowtheDMMisSupportedAdoption/CaseStudiesTrainingCertificationsPartnerProgramIndustryAlliancesDataManagementMaturityModelHistory,Description,Structure5CMMIWorldwideProcessImprovementCMMIQuickStats:
Over10,000organizations94Countries12Nationalgovernments10languages500Partners1500+Appraisalsin20136DataManagementMaturity(DMM)SMModelTheDMMwasreleasedonAugust7,20143.5yearsindevelopment4sponsoringorganizations50+contributingauthors70+peerreviewers80+organizationsinvolved300+practicestatements300+workproducts7DMM-GuidedNavigationtoLastingSolutionsReferencemodelframeworkoffundamentaldatamanagementcapabilitiesMeasurementinstrumentfororganizationstoevaluatecapabilitymaturity,identifygaps,andincorporateguidelinesforimprovementsDevelopedbyCMMIInstitutewithourcorporatesponsors-BoozAllenHamilton,LockheedMartin,MicrosoftCorporation,andKinglandSystemsStructured,crafted,andrefinedtoleveragethestrengthsandprovenapproachofCMMI,withthecontributionofmanysubjectmatterexpertsPioneeringOrganizationsDMMAssessments:
Microsoft;
FannieMae;
FederalReserveSystemStatistics;
OntarioTeachersPensionPlan;
FreddieMac;
SecuritiesandExchangeCommission;
TreasuryOfficeofFinancialResearch8WhoWroteItandWhyAuthorteamandpeerreviewteamrepresentmultipleindustries-deepexperienceindesigningandimplementingdatamanagementprogramsandsolutionsIndustryskillsinclude:
EDW,MDM,DQ,BI,SOA,governance,bigdata,enterprisearchitecture,dataarchitecture,businessanddatastrategy,platformimplementation,businessprocessengineering,businessrules,softwareengineering,appraisalsandbenchmarking,DMBoK,DRM,etc.ConsortiumapproachtestedandprovenapproachesBroadpracticalwisdom-WhatworksExtensivediscussions,implementationtesting,andrigorousreviewsresultinginconsensusWewroteitforourselvesandforYouallorganizationsToquicklyandaccuratelymeasurewhereweareToacceleratethejourneyforwardwithaclearpathandmilestones9DMMDriversAneffectivedatamanagementprogramrequiresaplannedstrategiceffortIntegratemulti-disciplineeffortsInculcateasharedvisionandunderstandingDataisathingvitalinfrastructureelementfoundationofthen-tierarchitectureNotaproject,morethanaprogramalifestyle.OrganizationsneededacomprehensivereferencemodeltoevaluatedatamanagementcapabilitiesandmeasureimprovementsbenchmarkandguidanceDMMtargetedtounifyunderstandingandprioritiesoflinesofbusiness,IT,anddatamanagementperse.Aimedatthebiggestchallenges:
Achievinganorganization-wideperspectiveClearlycommunicatingtothebusinessAligningofbusinesswithIT/DMSustainingamulti-yeareffort.10DMMThemesArchitectureandtechnologyneutralapplicabletolegacy,DW,SOA,unstructureddataenvironments,mainframe-to-Hadoop,etc.Industryindependentusablebyeveryorganizationwithdataassets,applicabletoeveryindustryEmphasisoncurrentstateorganizationisassessedontheimplementeddatalayerandexistingDMprocessesFoundationforcollaborativeandsustainedprocessimprovementforthelifeoftheDMprogramaka,forever.IfIfyoumanagedata,theDMMisforyouyoumanagedata,theDMMisforyou11FoundationforadvancedsolutionsYoucanaccomplishAdvancedDataSolutionswithoutproficiencyinBasicDataManagementPractices,butsolutionswill:
TakelongerCostmoreNon-extensibleDeliverlessPresentgreaterrisk11Copyright2013byDataBlueprintFundamentalDataManagementPracticesAdvancedDataSolutionsMDMAnalyticsBigDataIOTWarehousingSOA11DataManagementFunctionDataManagementStrategyDataGovernanceDataQualityProgramDataIntegrationMetadataManagement12DMMataGlance13YouAreWhatYouDOModelemphasizesbehaviorCreatingeffective,repeatableprocessesLeveragingandextendingacrosstheorganizationActivitiesresultinworkproductsProcesses,standards,guidelines,templates,policies,etc.Reuseandextension=maximumvalue,lowercosts,happierstaffProcessAreasweredesignedtostandaloneforevaluationReflectsreal-worldorganizationsSimplifiesthedatamanagementlandscapeforallpartiesFlexibleformultiplepurposesBecause“everythingisconnected,”relationshipsareindicated14DMMCapabilityLevelsPerformedManagedDefinedMeasuredOptimizedLevel1Level2Level3Level4Level5RiskQualityAdhocReuse15CapabilityandMaturityLevelDefinitionsLevelDescriptionPerspective1:
PerformedProcessesareperformedadhoc,primarilyattheprojectlevel.Therearenoprocessesareasappliedacrossbusinessareas.Processdisciplineisprimarilyreactive;
forexample,fordataquality,theemphasisisondatarepair.Foundationalimprovementsmayexist,butimprovementsarenotyetextendedwithintheorganizationormaintained.Dataismanagedasarequirementfortheimplementationofprojects2:
ManagedProcessesareplannedandexecutedinaccordancewithpolicy;
employskilledpeoplehavingadequateresourcestoproducecontrolledoutputs;
involverelevantstakeholders;
aremonitored,controlled,andreviewed;
andareevaluatedforadherencetoitsprocessdescription.Thereisawarenessoftheimportanceofmanagingdataasacriticalinfrastructureasset.3:
DefinedSetsofstandardprocesseshavebeenestablishedandimprovedovertime,providingapredictablemeasureofconsistency.Processestomeetspecificneedsaretailoredfromthesetofstandardprocessesaccordingtotheorganizationsguidelines.Dataistreatedattheorganizationallevelascriticalforsuccessfulmissionperformance.4:
MeasuredManagedandmeasuredprocessmetricshavebeenestablished.Thereareformalprocessesformanagingvariances.Qualityandprocessperformanceisunderstoodinstatisticaltermsandismanagedacrossthelifeoftheprocess.Dataistreatedasasourceofcompetitiveadvantage.5:
OptimizedProcessperformanceiscontinuallyimprovedthroughbothincrementalandinnovativeimprovements.Feedbackisusedtodriveprocessenhancementsandbusinessgrowth.Bestpracticesaresharedwithpeersandindustry.Dataisseenascriticalforsurvivalinadynamicandcompetitivemarket.16DMMBenchmarktoDate17WhattheDMMisNotNotacompendiumofalldatamanagementknowledgeDoesnotaddresseverytopicandsub-topicfocusonbusinessdecisions35+yearsofevolutionFoundationalthinkers&
TalentedvendorsWealthofcollectiveexperienceFullymatureindustrypractices.NotacookbookToomuchspecificity=1000+pagesDoesntidentifythe“onebestway”DataManagementMaturityModelInAction19HowtheDMMSMHelpsanOrganizationGradatedpath-step-by-stepimprovementsUnambiguouspracticestatementsforclearunderstandingFunctionalworkproductstoaidimplementationCommonlanguageSharedunderstandingofprogressAcceleration20WhytheDMMisusefulEducationaltoolforallstakeholdersPracticalwisdomguidesactivitiesandimplementationContextuallyflexibleWHAT,notHOWwhichisdependentonbusinesspriorities,technicalchoices,andorganizationalcultureEnablesathoroughgapanalysisinrecordtimeCapabilitiesthatareabsent,unintegratedorweakStrengthsyoucanbuildonandextendOverlookedtechniques,toolsets,capabilitiesBuildssupport-strategic,financial,andcommitmentofeffort(coalitionofthewilling).21WhyExecutiveNeedstheDMMCollaborativeInfluenceEngagingthelinesofbusinessAlignmentwithmission,goals,andobjectivesForgeasharedperspectiveCollectiveunderstandingCurrentstrengthsandweaknessesRolestosupportthedataassetsRevealscriticalneedsforthedatamanagementprogramQuickWinsHighValue/reasonabletimeframeHighValue/StrategicWinsheartsandminds-motivatescollaborationforimprovements22StartingtheJourney-DMMAssessmentMethodTomaximizetheDMMsvalueasacatalystforforgingsharedperspectiveandacceleratingtheprogram,ourmethod:
ProvidesinteractivecollaborationeventwithbroadrangeofstakeholdersEvaluatescapabilitiescollectivelybyconsensusaffirmationsNaturallyfacilitatesunificationoffactions-everyonehasavoiceandroleSolicitskeybusinessinputthroughsupplementalinterviewsVerifiestheevaluationwithworkproductreviews(evidence)ReportandexecutivebriefingpresentsScoring,Findings,Observations,Strengths,andtargetedspecificRecommendations.Audit-levelbenchmarkmethodwillbeintroducedin2015forformalbenchmarkofmaturity,leveragingtheCMMISCAMPIAmethodOptionfororganizationsandregulators.Todate,over200individualsfrombusiness,IT,anddatamanagementinearlyadopterorganizationshaveemployedtheDMM-practicebypractice,workproductbyworkproduct-toevaluatetheircapabilit