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《数据管理风险管理》课件PPT数据管理风险管理课件大纲概述数据管理风险管理的重要性,什么是PPT数据管理风险,数据管理风险管理流程,风险评估及控制,数据传输安全控制,数据备份与恢复管理,个人信息安全保护措施Why Data Management RiskMatters1Data isvaluable2Reputation and3Compliance andtrustregulationsThe importanceofmanaging datarisks Databreaches canData managementliesin thevalue oflead toreputational risk management isdataitself.Losing ordamage andloss ofessential tocomplymishandling datacan trustfrom customerswith varioushavesevere andstakeholders.regulations andlawsconsequences forProper riskregarding dataorganizations.management ensuresprivacy andsecurity.data integrityandsecurity.Data ManagementRiskManagement Process1Identify risksAnalyzepotential risksandvulnerabilities indataEvaluate risks2management processes.Assess theimpact andlikelihood ofidentifiedrisks toprioritize3Mitigate risksmitigationefforts.Implement measuresto minimizeoreliminate identifiedrisks.Data TransferSecurity ControlEnsuringsecure datatransfer iscrucial forriskmanagement.EncryptionUtilize strongencryption protocolsto protectdata duringtransit.Access controlsImplementstrict accesscontrols toprevent unauthorizedinterception ormodificationof data.Secure protocolsUsesecure protocols,such asHTTPS,for transmittingsensitive data.Data Backupand RecoveryManagementRegularbackups Datarecovery planData protectionmeasuresPerformregular dataHave acomprehensive planbackupsto minimizethe inplace for data recoveryImplement measurestoimpact ofdata loss.in caseof unexpectedsafeguard backed-up data,incidents.such asencryption andsecurestorage.Protecting PersonalInformation1Consent andtransparencyObtain explicitconsent fromindividualswhen collectingandData minimization2handling theirpersonalinformation.Only collectand retainnecessarypersonal datato reducerisks.3Security measuresImplementstrong securitymeasuresto protectpersonalinformation fromunauthorizedaccess ordisclosure.Data ManagementRiskChallenges andSolutions1Rapidly evolvingtechnologySolution:Stay updatedon emergingtechnologies andadapt riskmanagementstrategies accordingly.2Insider threatsSolution:Implement accesscontrols,monitor dataaccess,and conductregularaudits todetect andprevent insiderrisks.3Data integrationcomplexitiesSolution:Develop standardizeddata integrationprocesses andestablishclear guidelinesfordatahandling.DataManagementBest PracticesDatagovernance RegularauditsEstablish cleardata governancepolicies Conductperiodic auditsto identifygapsand proceduresto ensureconsistent orweaknesses indata managementdata management practices.processes andaddress thempromptly.Employee trainingContinuous improvementProvidecomprehensive trainingContinuously evaluateand improvedataprograms toeducate employeesabout managementpractices toadapt todatamanagement risksand practices.changing risksand technologies.The Futureof DataManagementData-driven decisionEnhanced dataprivacy Cloud-based datamakingmanagementGreater focuson dataTheuse ofadvanced privacyregulations andCompanies willadopt cloudanalyticsand artificialincreased individualcomputing tostreamlineintelligence willdrive moreawareness willlead todatamanagementprocessesdata-driven decision-improved dataprotection andimprove accessibility.making processes.practices.。