Importance of the Data Management process in setting up ... · Alain Cieslik Data Management...

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ImportanceoftheDataManagementprocessinsettinguptheGDPRwithinacompany

CREOBIS

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PersonalDataistheoilofthedigitalworld

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Personalinformationcomesindifferentforms&media.

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Personalinformationcomesindifferentforms&media.

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PersonalData

Non-Structured

Excel/Word/PowerpointPicture/Video/Sound

PaperEmail/Chat

SocialNetworkSearchEngineWebpage

Semi-structured

XML

JSON

NOSQL

Structured Database

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ITEcosystemforpersonaldata

DataCenterApplications

Databases

Fileservers

Mainframes

Datawarehouse

Cloud

IaaS

Paas

SaaS

BigData

DataLake

NoSql

Hadoop

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ITEcosystemforpersonaldata:Filesystems

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Documents

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ITEcosystemforpersonaldata:Databases

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Art25.DataProtection

bydesign

Privacybydesign

Art32.Securityofprocessing

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ITEcosystemforpersonaldata:ModernDatawarehouse

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https://www.slideshare.net/jamserra/building-an-effectivedatawarehousearchitecturewithhadoop

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ManagePersonalDatalifecycle

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https://www.i-scoop.eu/information-management/

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Personalinformationcomesinalotofdifferentforms&media.

ITEcosystemforpersonaldataiscomplex

ManagePersonalDatalifecycle

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DataManagementOverview

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http://dama-phoenix.org/wp-content/uploads/2015/09/DAMA-Phoenix-DMBOK2.pdf

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GuidingPrinciples1.Dataandinformationarevaluableenterpriseassets.

2.Managedataandinformationcarefully, likeanyotherasset,byensuringadequatequality,security,integrity,protection,availability,understanding,andeffectiveuse.

3.Shareresponsibility fordatamanagementbetween businessdatastewards (trusteesofdataassets)anddatamanagementprofessionals (expertcustodiansofdataassets).

4.DatamanagementisabusinessKnowledgeArea andasetofrelateddisciplines.

5.DatamanagementisalsoanemergingandmaturingprofessionwiththeITfield.

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DataManagementOverviewKnowledgeAreas(KAs)

1.DataGovernance

2.DataArchitecture

3.DataModelingandDesign

4.DataStorageandOperations

5.DataSecurity

6.ReferenceandMasterData

7.DataWarehousingandBusinessIntelligence

8.DataIntegrationandInteroperability

9.DocumentsandContent

10.Metadata

11.DataQuality

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GeneralContextDiagram

Definition – WhatistheKnowledgeArea?

Goals – WhatdoestheKnowledgeAreaaccomplish?

WhydoestheKnowledgeAreaexist?

Activities – WhataretheKnowledgeArea’stasksthataccomplishthegoals?

Inputs – WhatdotheKnowledgeArea’stasksuse?

Suppliers – WhoprovidestheinputstotheKnowledgeArea’stasks?

Responsible – WhoisperformstheKnowledgeArea?

Tools – WhattoolsdotheKnowledgeArea’stasksuse?

Deliverables – WhatdoestheKnowledgeAreadeliver?

Consumers – Whousestheprimarydeliverables?

Stakeholders – WhohasaninterestintheKnowledgeArea’ssuccess?

Metrics – WhatisusedtomeasuretheKnowledgeArea’ssuccess?

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Art5.Principlesrelatingtoprocessingofpersonaldata

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Lawfulness,fairnessandtransparency

Purposelimitation

Dataminimisation

Accuracy

Storagelimitation

Integrity&confidentiality

Accountability

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Principles Governance Quality Metadata Security

lawfulness,fairnessandtransparency

purposelimitation

dataminimisation

accuracy

storagelimitation

integrityandconfidentiality

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DMBOK2- KeyAreas

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DMBOK2KeyAreas– DataGovernance1.DataGovernancePlanning,supervisionandcontroloverdatamanagementanduse.

DataGovernanceandStewardship

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Goals Activities

1.Define,approve,communicate,andimplementprinciples,policies,procedures,metrics,tools,andresponsibilitiesfordatamanagement.2.Trackandenforcecompliancetoregulatoryandinternaldatapolicies.3.Monitorandguidedatausageandmanagementactivities.

1.DefineDataGovernancefortheorganization2.DefinetheOperatingFramework3.Createandimplementdataprinciplesandpolicies4.Defineroles5.Implementandsustain

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GoalsofBusinessCulturalDevelopment

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Goals Activities

1.Todefineadata-centricorganization2.Tounderstandhowbusinessculturedevelopmentsupportsdatagovernance3.Todefinechangemanagementactivitiesthatcansupportdatamanagementandbusinessculturealignment4.Tohighlighttheneedforcommunicationandtrainingindatamanagementactivities

1.Createadata-centricorganization2.Developorganizationaltouchpoints3.Developdata-centricculturecontrols

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DataintheCloud

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Goals Activities

1.Define,contract,implement,andmonitorcloudbaseddatamanagementareasofprograms.2.Defineimplement/contract,monitorandreportSLAsoninternalandexternaldatastores.

1.Assessorganizationalreadiness2.Definecloudandoutsourcingrequirementsfortheorganization3.Defineandexecutecontractingrequirements4.Selectandexecutecloudinfrastructurevendorenvironment5.DevelopsecurityrulesandETL/capturedatachange(CDC)code6.Operationalizeclouddataactivities7.Reportonservicemonitoring

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DataHandlingEthics

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Goals Activities

1.ReviewData-HandlingPractices2.DeveloptheEthicalDataHandlingStrategy3.CommunicateandEducateStaff4.AddressPracticesGaps5.MonitorandMaintainAlignment

1.ReviewData-HandlingPractices2.DeveloptheEthicalDataHandlingStrategy3.CommunicateandEducateStaff4.AddressPracticesGaps5.MonitorandMaintainAlignment

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DMBOK2KeyAreas– DataGovernance5.DataSecurityDefinition,planning,development,andexecutionofsecuritypoliciesandprocedurestoprovideproperauthentication,authorization,access,andauditingofdataandinformationassets.

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Goals Activities

1.Enableappropriate,andpreventinappropriate,accesstoenterprisedataassets.2.Understandandcomplywithallrelevantregulationsandpoliciesforprivacy,protection,andconfidentiality.3.Ensurethattheprivacyandconfidentialityneedsofallstakeholdersareenforcedandaudited.

1.IdentifyRelevantDataSecurityRequirements2.DefineDataSecurityPolicy3.DefineDataSecurityStandards4.AssessCurrentSecurityRisks5.ImplementDataSecurityControlsandProcedures

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DMBOK2KeyAreas– DataGovernance10.MetadataPlanning,Implementation,andcontrolactivitiestoenableaccesstohighquality,integratedmetadata

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Goals Activities

1.Provideorganizationalunderstandingofbusinesstermsandusage2.Collectandintegratemetadatafromdiversesources3.Providestandardwaytoaccessthemetadata4.Ensuremetadataqualityandsecurity

1.DefinetheMetadataStrategy2.UnderstandMetadataRequirements3.DefineMetadataArchitecture4.CreateMetaModel5.ApplyMetadataStandards6.ManageMetadataStores7.CreateandMaintainMetadata8.IntegrateMetadata9.DistributeandDeliverMetadata10.Query,ReportandAnalyzeMetadata

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DMBOK2KeyAreas– DataGovernance11.DataQualityTheplanning,implementation,andcontrolactivitiesthatapplyqualitymanagementtechniquestodata,inordertoassureitisfitforconsumptionandbusinesspurpose(s).

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Goals Activities

1.Developagovernedapproachtomeasurablyimprovethequalityofdataaccordingtodefinedbusinessrules.2.Definerequirementsandspecificationsforintegratingdataqualitycontrolintothesystemdevelopmentlifecycle.3.Defineandimplementprocessesformeasuring,monitoring,andreportingconformancetoacceptablelevelsofdataquality.

1.CreateaDataQualityCulture2.PerformPreliminaryDataQualityAssessment3. DefineDataQualityRequirements4.AssessDataQuality5.DevelopandDeployDataQualityOperations6.MeasureandMonitorDataQuality

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Phase1Acquiredatacapabilities

DMBOK2KeyAreas– DataGovernance

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DataSecurity DataStorage&Operations

DataModelingandDesign

Dataintegration&interoperability

Phase2Improvedataquality

DataArchitecture DataQuality Metadata

Phase3Setupdatagovernance

DataGovernance

DataWarehousing

Documents&Contents

Reference&MasterData

Phase4Advancedanalyticcapabilities

DataMining DataAnalytics BigData

DMBook 2.0:PurchaseorBuiltdatabasecapability


SummaryofGDPRandInformationGovernance

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https://castlebridge.ie/blog/2016/01/26/our-most-requested-slide-2014-2015

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Extraterritoriality

Finesas%ofGlobalturnover

Mitigatingfactors

IncreasedPenalties

Coreprinciples1. lawfulness,fairnessandtransparency2. purposelimitation3. dataminimisation4. accuracy5. storagelimitation6. integrityandconfidentiality7.accountability

Risk&PenaltiesMitigation Riskbasedapproachtodataprotection Principle

driven

DataManagement


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Respectprivacy

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Coreprinciples1. lawfulness,fairnessandtransparency2. purposelimitation3. dataminimisation4. accuracy5. storagelimitation6. integrityandconfidentiality7.accountability

DataManagement

Dataprotectionofficer

Documentation

Evidenceofeffectiveness

Privacybydesign

Oversee&Govern

Plan&Build

Do&Manage

Engage&Respond


Respectprivacy

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Extraterritoriality

Finesas%ofGlobalturnover

Mitigatingfactors

IncreasedPenalties

Coreprinciples1. lawfulness, fairnessandtransparency2. purpose limitation3. dataminimisation4. accuracy5. storagelimitation6. integrityandconfidentiality7.accountability

Risk&PenaltiesMitigation Riskbasedapproachtodataprotection Principle

driven

ExplicitfocusonData

Management

Dataprotectionofficer

Documentation

Evidenceofeffectiveness

Privacybydesign

Oversee&Govern

Plan&Build

Do&Manage

Engage&Respond

Respectprivacy

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Inconclusion…

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Ø Dataisacompanyassetthatneedtobemanaged

Ø Donotunderestimatethecomplexityofmanagingdata…Ø AlotofdifferenttypeofformatandmediaØ AcomplexecosystemØ Thechallengeofmanagingthefulldatalifecycle

Ø DataManagementFrameworkscanhelpyouinthisjourney

Ø DataManagementrequiresanentrepriseperspective

Ø GDPRisafantasticopportunitytoimprovethedatamanagementinyourcompany

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[email protected]

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Referenceso http://dama-phoenix.org/wp-content/uploads/2015/09/DAMA-Phoenix-DMBOK2.pdf

o https://castlebridge.ie/blog/2016/01/26/our-most-requested-slide-2014-2015

o https://www.slideshare.net/jamserra/building-an-effectivedatawarehousearchitecturewithhadoop

o https://www.i-scoop.eu/information-management/

o https://www.slideshare.net/DamaIreland/dama-ireland-gdpr?qid=8482d85b-37de-48c4-8637-dc38047f3496&v=&b=&from_search=12

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Date post:	07-Jun-2020
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