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Collibra - Forrester Presentation : Data Governance 2.0
The document discusses the evolving role of data governance in transforming organizations towards data citizenship, emphasizing the need for dynamic governance across data management processes. It outlines the transition from traditional data governance objectives to more customer- and business-oriented goals, integrating new domains such as privacy and applicability. Recommendations include establishing a data governance strategy that demonstrates value to both businesses and customers.
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Collibra - Forrester Presentation : Data Governance 2.0
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- 4. 4©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Agenda › Digital Transformationand Values Transformation › Data Governance 2.0 toward Data Citizenship › Recommendations
- 5. 5©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Agenda › Digital Transformationand Values Transformation › Data Governance 2.0 toward Data Citizenship › Recommendations
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- 7. 7©"2017"FORRESTER."REPRODUCTION"PROHIBITED. UX Emotion Values0BasedCustomers Building0Societal Happiness What companies should provide Easy and"effective Emotionally engaging J Values"relevant"and"resonant J Authenticity,"transparency J Companies addressing local" crises J Values"engaging J Companies addressing global" crises J Societal engagement":" Connecting customers," employees and"shareholders communities around the"same values Societal disruptions Mobility,"global" connectivity… Social"connectivity (provoking arabian revolutions for" example,"or"millenials reaction to"NRA) Reactive behavior against Nationalism,"populism," regionalism,"fake"news," democratic mass" manipulations Universal"knowledge to"the" masses":"humanity consciousness,"communities connexion,"Ecosystems of" value Disruptive" technologies UX"(HTML5…),"Agile," Devops,"« systems of" insight »"continuous feedback,"Big"Data," business"rules Beacons,"Customer" sentiment"analysis based on"Facebook" and"Twitter"(SC1)," body"language analysis,"digital" flavour J Social"Computing 2,0" (sumofus,"change,"avaaz," mesgouts,"goodguide," playmob)," J IoT J Social"Tokenization SC2"shows"values"evolution and"democratize actions"to" consumers AI2"produces Universal" Knowledge out"of"data,"rules and"values DG2"balance"majorities vs" minorities`"Tokenization ressources UX"is only the"beginning Introduction0to0Values0Transformation0after0Digital0Transformation
- 8. 8©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Changing Linear Value.Chain.To.Dynamic EcosystemOf.Value Source:""March"2014,"“The"Digital"Business"Imperative”,"Forrester"report
- 9. 9©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Agenda › Digital Transformationand Values Transformation › Data Governance 2.0 toward Data Citizenship › Recommendations
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- 11. 11©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Data%Governance becomes more%dynamicover%the% Data%Management%Continuum Data Collection Data Aggregation Data" Usage External Sharing Data"Management"Continuum Data"Governance Focus Policies and"data"set"preparation feedback,"open" collaboration" Feedback"and"continuous adjustment Metadata,basic lineage,"quality rules,"security and"compliance" policies Business"Glossary,"data" context,"advanced lineages
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- 13. Statistical requireme nts Metadata Applicability =+new+Data+Governance domainTo+ govern AI,+ML,+DL Data1Set Algorithm (AI,1ML,1 DL,1 semantic,1 predictive) Usage1 (s) Application/transaction UI/personalization/next best1action Chatbot Financial1Reports Automation/RPA Self1driving cars Transportation1automation Robot Results Algorithm Limitation sData1Context Risks Human death/safety Environmental impact Societal impact Cultural1impact Business1Impact1(revenue,1benefit,1reputation)• Data1Usage1(process,1 apps) • Data1collection1 (filtering,1treatments,1 lifecycle operations) • Data1 aggregation/storage (access,1systems,1 • Policies (quality,1 uniqueness,…) • Information1about1 systems generating data1(sensors/systems asset1information) • Business1Context Business Limitation s
- 14. 14©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Data&Governance For&Data&Buyers And&Sellers Data Collection Data Aggregati on Data" Usage Data" Commerc ialization Supplier"Side Data"Management"Continuum Supplier"Data"Governance Metadata,"Dictionnary,"Encoding, Data"Context,"frequencyrefresh," Vertical/business"context Each new"sharing"can require DG"policies changes"and"data"collection"adjustment Commercial"clauses," Confidentiality Policies Compliance," Audit""(GDPR) Commitment,"feedback," Usage,"redistribution"permission" Feedback":"Filtering,"potential added value"enhancing data"context Audit"capabilities Buyer Data"GovernanceProduc t Desc. _____ _____ _____ _____ _____ _____ _____ Contra ct _____ _____ _____ _____ _____ _____ Due"diligence,"alternative"data, Data"Valuation Busine ss" Model/ price _____ _____ _____ ___ Data"costs License"Fees per"usageLicense"Fees dependencies License"fees and" dependencies Data Collection Data Aggregati on Data" Usage Data" Commerc ialization Buyer"Side Data"Management"Continuum
- 15. 15©"2017"FORRESTER."REPRODUCTION"PROHIBITED. DG 1.0'objectives DG'2.0'Objectives Quality100% “Good"enough”"depending"on"usage Uniqueness Unicity Multi"viewpoint Lifecycle"(compliance) Storage and"availability"at" best"cost From"real"time"to"historical"at"“no"cost” Security Classification Zero"trust Metadata Predefined Access"and storage Defined"at"moment"of"usage Build"automation,"management"and" context Privacy Like"security Offer transparency"to"“customers” Graphical" representation ZZZZZZZZ Learning"interpretation of"large"volume,"3D" “navigation” Algorithms ZZZZZZZZ Applicability Commercialization ZZZZZZZZ Help"describe"products"and"establish" contract The'Changing'Objectives'for'DG2
- 16. 16©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Data&Governance 2,0&in&Summary › Foreveryone (citizenship) › In Ecosystem › With new domains : Privacy, Applicability, for data buyers and sellers, visual analytics › With evolving objectives › Business AND customers oriented, rather than compliance enforcement only
- 17. 17©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Agenda › Data Governance2.0 toward Data Citizenship › Main Criteria for Choosing DG › Recommendations
- 18. 18©"2017"FORRESTER."REPRODUCTION"PROHIBITED. Recommandations/Best0practices › Do notwaste your time (money, energy) with a DG maturity assessment › Establish a data governance strategy/program to progress step by step › Show the value with a Data Governance serving Business AND Customers
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