SlideShare a Scribd company logo
1 of 15
Download to read offline
Powering a Sustainable
Data Governance Program
Learnings & Best Practices from
Today’s Speakers
© 2020 erwin, Inc. All rights reserved. 2
Mariann McDonagh
Chief Marketing Officer
erwin, Inc.
Romina Medici
Data Readiness Program Manager
E.ON Energy
An explosion of data across disparate silos leads to …
The Enterprise Data Dilemma
3
4
“Collective sum of the world’s data
will grow from 33 zettabytes this
year to 175 zettabytes by 2025.”
1,000s of undocumented applications + databases
“Big data presents large volumes of multi-
sourced data in varied formats and types.
Metadata management is mandatory.”
1,000s of business terms across different business units
© 2020 erwin, Inc. All rights reserved.
Sources: Network World IDC “The Digitization of the World From Edge to Core,”
Top Drivers of Data Governance Initiatives
© 2020 erwin, Inc. All rights reserved. 4
What are the top three drivers of your data governance/data
intelligence initiative? [Please select three choices]
Source: erwin/Dataversity State of Data
Governance 2.0 Feb. 2020
And this was pre-COVID!
Data Value Chain Bottlenecks
© 2020 erwin, Inc. All rights reserved. 5
What are the most serious bottlenecks in your
organization’s data value chain? [Select all that apply]
Documenting complete data lineage (62%)
Understanding the quality of source data (58%)
Finding, identifying and harvesting data (55%)
Curating data assets with business context (52%)
© 2020 erwin, Inc. All rights reserved. 6
DATA POWERS DIGITAL TRANSFORMATION
Improves Digital
Experiences
Enhances Digital
Operations
Drives Digital Innovation Builds Digital Ecosystems
Data readiness is everything.
And here’s why.
About E.ON Energy
© 2020 erwin, Inc. All rights reserved. 7
E.ON is an international, privately owned energy supplier based in
Essen, Germany, and has around 78,000 employees. With a clear focus
on three strong core businesses — Energy Networks, Customer
Solutions, and Renewables — the company aims to become the partner
of choice for energy and customer solutions. E.ON provides solutions
for the new energy world. Its core businesses reflect the key emerging
energy trends: The transformation of yesterday’s power lines into
tomorrow’s smart energy networks. The increasing demand for
innovative customer solutions. The global growth of renewables. Learn
more at www.eon.com.
E.ON’s Data Readiness (DaRe) Program
Why Metadata Management?
The Business Challenge
Limited Data Access
No Data Catalog
Inefficient Data Usage
GDPR Compliance
Strict Data Policies
Technical Data
Management
Data Governance
Metadata Management
© 2020 erwin, Inc. All rights reserved.
Data Governance Technology Evaluation Criteria
TCO
Implementation (technical
evaluation)
License Costs
PoC Results
Hosting
Selection
© 2020 erwin, Inc. All rights reserved.
Data Readiness
Implement best practices and technology for all data management disciplines
8mn€
Potential value from
10 use cases
67Systems connected
Global team of experts
10 Legal Entities with
data governance
initiatives
169Users of DG &
MeDM platform
9 RUS with data quality
initiatives
3 Data model
implemented in erwin
maturity assessment developed and
offered – DaRe Framework
Value calculation based on real use cases
Facts&Figures
© 2020 erwin, Inc. All rights reserved.
Metadata Management Initial Results
Based on the implementation of a common MeDM platform, the discipline is
scaling across four countries.
18 Months in operation
44 Data domains defined
Traceability of KPI’s through connection of
business semantics and technical assets
8 Legal Entities
on board
175 Users trained
67 Connected systems
550 Business terms
created
Standard reporting for platform usage
and maturity progress in onboarded
RUs
Operating model for aligned usage and
scalability defined
Facts&Figures
© 2020 erwin, Inc. All rights reserved.
Data Governance Initial Results
Ensures a common and compliant way of working with all RU & BU based
on standards, roles, policies and understanding
18Months in operation
15 BU with data
governance roles
First processes defined and in alignment with RU
and identification for Data Policy needs conducted
4 Commonly defined roles
50
Data owner, data
stewards, technical data
stewards and local DG
leads announced
3 Regional units with DG as top
priority in 2020
1 Aligned data
governance and
quality playbook
Maturity overview and comparison
offered to all RUs
Defined frame for decision making and
strategy alignment for all DG / DQM organizations
Facts&Figures
© 2020 erwin, Inc. All rights reserved.
Getting Real: The Tough Questions
• What were the biggest challenges in undertaking this massive project?
• Which was more difficult – the technology or the culture?
• How were senior executives engaged in support of the mission?
• What were the biggest surprises?
• What’s next for the project?
• Has COVID changed priorities or driven new initiatives?
• What advice do you have for others beginning the journey?
© 2020 erwin, Inc. All rights reserved. 13
Final Thoughts:
Build a Data-Driven Culture
© 2020 erwin, Inc. All rights reserved. 14
Accelerate time
to value across
the data lifecycle
Ensure
company-wide
data compliance
Demand trusted
insights based
on data truths
Foster data-
driven
collaboration
Learn More!
© 2020 erwin, Inc. All rights reserved. 15
erwin.com/resources/white-papers/

More Related Content

What's hot

RWDG Slides: Non-Invasive Metadata Governance
RWDG Slides: Non-Invasive Metadata GovernanceRWDG Slides: Non-Invasive Metadata Governance
RWDG Slides: Non-Invasive Metadata GovernanceDATAVERSITY
 
Data Quality Success Stories
Data Quality Success StoriesData Quality Success Stories
Data Quality Success StoriesDATAVERSITY
 
RWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data GovernanceRWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data GovernanceDATAVERSITY
 
RWDG Slides: Stay Non-Invasive in Your Data Governance Approach
RWDG Slides: Stay Non-Invasive in Your Data Governance ApproachRWDG Slides: Stay Non-Invasive in Your Data Governance Approach
RWDG Slides: Stay Non-Invasive in Your Data Governance ApproachDATAVERSITY
 
Necessary Prerequisites to Data Success
Necessary Prerequisites to Data SuccessNecessary Prerequisites to Data Success
Necessary Prerequisites to Data SuccessDATAVERSITY
 
The Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 SuccessThe Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 SuccessDATAVERSITY
 
Essential Metadata Strategies
Essential Metadata StrategiesEssential Metadata Strategies
Essential Metadata StrategiesDATAVERSITY
 
RWDG Webinar: Build Your Own Data Governance Tools
RWDG Webinar: Build Your Own Data Governance ToolsRWDG Webinar: Build Your Own Data Governance Tools
RWDG Webinar: Build Your Own Data Governance ToolsDATAVERSITY
 
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data SinsDataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data SinsDATAVERSITY
 
RWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data StewardshipRWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data StewardshipDATAVERSITY
 
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...DATAVERSITY
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
 
DAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDATAVERSITY
 
DataEd Webinar: Metadata Strategies
DataEd Webinar:  Metadata StrategiesDataEd Webinar:  Metadata Strategies
DataEd Webinar: Metadata StrategiesDATAVERSITY
 
Slides: Data Governance Reality Check
Slides: Data Governance Reality CheckSlides: Data Governance Reality Check
Slides: Data Governance Reality CheckDATAVERSITY
 
Do-It-Yourself Metadata Framework
Do-It-Yourself Metadata FrameworkDo-It-Yourself Metadata Framework
Do-It-Yourself Metadata FrameworkDATAVERSITY
 
DataEd Slides: Approaching Data Management Technologies
DataEd Slides:  Approaching Data Management TechnologiesDataEd Slides:  Approaching Data Management Technologies
DataEd Slides: Approaching Data Management TechnologiesDATAVERSITY
 
DataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDATAVERSITY
 
The future of bi isn't a bi tool
The future of bi isn't a bi toolThe future of bi isn't a bi tool
The future of bi isn't a bi toolDATAVERSITY
 
Real-World Data Governance: Comparing World Class Solutions in Data Governanc...
Real-World Data Governance: Comparing World Class Solutions in Data Governanc...Real-World Data Governance: Comparing World Class Solutions in Data Governanc...
Real-World Data Governance: Comparing World Class Solutions in Data Governanc...DATAVERSITY
 

What's hot (20)

RWDG Slides: Non-Invasive Metadata Governance
RWDG Slides: Non-Invasive Metadata GovernanceRWDG Slides: Non-Invasive Metadata Governance
RWDG Slides: Non-Invasive Metadata Governance
 
Data Quality Success Stories
Data Quality Success StoriesData Quality Success Stories
Data Quality Success Stories
 
RWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data GovernanceRWDG Slides: Data Architecture Is Data Governance
RWDG Slides: Data Architecture Is Data Governance
 
RWDG Slides: Stay Non-Invasive in Your Data Governance Approach
RWDG Slides: Stay Non-Invasive in Your Data Governance ApproachRWDG Slides: Stay Non-Invasive in Your Data Governance Approach
RWDG Slides: Stay Non-Invasive in Your Data Governance Approach
 
Necessary Prerequisites to Data Success
Necessary Prerequisites to Data SuccessNecessary Prerequisites to Data Success
Necessary Prerequisites to Data Success
 
The Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 SuccessThe Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 Success
 
Essential Metadata Strategies
Essential Metadata StrategiesEssential Metadata Strategies
Essential Metadata Strategies
 
RWDG Webinar: Build Your Own Data Governance Tools
RWDG Webinar: Build Your Own Data Governance ToolsRWDG Webinar: Build Your Own Data Governance Tools
RWDG Webinar: Build Your Own Data Governance Tools
 
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data SinsDataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
 
RWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data StewardshipRWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data Stewardship
 
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...
Real-World Data Governance: Metadata to Empower Data Stewards - Introducing t...
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
DAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use Cases
 
DataEd Webinar: Metadata Strategies
DataEd Webinar:  Metadata StrategiesDataEd Webinar:  Metadata Strategies
DataEd Webinar: Metadata Strategies
 
Slides: Data Governance Reality Check
Slides: Data Governance Reality CheckSlides: Data Governance Reality Check
Slides: Data Governance Reality Check
 
Do-It-Yourself Metadata Framework
Do-It-Yourself Metadata FrameworkDo-It-Yourself Metadata Framework
Do-It-Yourself Metadata Framework
 
DataEd Slides: Approaching Data Management Technologies
DataEd Slides:  Approaching Data Management TechnologiesDataEd Slides:  Approaching Data Management Technologies
DataEd Slides: Approaching Data Management Technologies
 
DataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance ProgramsDataEd Slides: Growing Practical Data Governance Programs
DataEd Slides: Growing Practical Data Governance Programs
 
The future of bi isn't a bi tool
The future of bi isn't a bi toolThe future of bi isn't a bi tool
The future of bi isn't a bi tool
 
Real-World Data Governance: Comparing World Class Solutions in Data Governanc...
Real-World Data Governance: Comparing World Class Solutions in Data Governanc...Real-World Data Governance: Comparing World Class Solutions in Data Governanc...
Real-World Data Governance: Comparing World Class Solutions in Data Governanc...
 

Similar to Powering Sustainable Data Governance

Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
 
Oracle Big Data Action Plan for Finance Professionals
Oracle Big Data Action Plan for Finance ProfessionalsOracle Big Data Action Plan for Finance Professionals
Oracle Big Data Action Plan for Finance ProfessionalsRich Clayton
 
final oracle presentation
final oracle presentationfinal oracle presentation
final oracle presentationPriyesh Patel
 
Netweb flytxt-big-data-case-study
Netweb flytxt-big-data-case-studyNetweb flytxt-big-data-case-study
Netweb flytxt-big-data-case-studyIntelAPAC
 
Solving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for HealthcareSolving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for HealthcareDelphix
 
Webinar: The New Consumers of Utility Data
Webinar: The New Consumers of Utility DataWebinar: The New Consumers of Utility Data
Webinar: The New Consumers of Utility DataUrjanet
 
Halloween Infographic
Halloween InfographicHalloween Infographic
Halloween InfographicNetAppUK
 
Big Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - WhitepaperBig Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - WhitepaperVasu S
 
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITCIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITDenodo
 
RFT for Business Intelligence and Data Strategy
RFT for Business Intelligence and Data StrategyRFT for Business Intelligence and Data Strategy
RFT for Business Intelligence and Data StrategySustainableEnergyAut
 
2019 Intelligent Technology Index
2019 Intelligent Technology Index 2019 Intelligent Technology Index
2019 Intelligent Technology Index Insight
 
Herding Cats in the Digital World
Herding Cats in the Digital WorldHerding Cats in the Digital World
Herding Cats in the Digital WorldCapgemini
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
 
A Real World Case Study for Implementing an Enterprise Scale Data Fabric
A Real World Case Study for Implementing an Enterprise Scale Data FabricA Real World Case Study for Implementing an Enterprise Scale Data Fabric
A Real World Case Study for Implementing an Enterprise Scale Data FabricNeo4j
 
MIS Unit 1 Dr. Vijay.pptx
MIS Unit 1 Dr. Vijay.pptxMIS Unit 1 Dr. Vijay.pptx
MIS Unit 1 Dr. Vijay.pptxVikasRai405977
 
Postgres Vision 2018: Data as the New Oil
Postgres Vision 2018: Data as the New OilPostgres Vision 2018: Data as the New Oil
Postgres Vision 2018: Data as the New OilEDB
 
Data Fabric Market Future Prospect
Data Fabric Market Future ProspectData Fabric Market Future Prospect
Data Fabric Market Future ProspectAryanRaj496746
 

Similar to Powering Sustainable Data Governance (20)

Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...
 
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?¿En qué se parece el Gobierno del Dato a un parque de atracciones?
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
 
Oracle Big Data Action Plan for Finance Professionals
Oracle Big Data Action Plan for Finance ProfessionalsOracle Big Data Action Plan for Finance Professionals
Oracle Big Data Action Plan for Finance Professionals
 
final oracle presentation
final oracle presentationfinal oracle presentation
final oracle presentation
 
Netweb flytxt-big-data-case-study
Netweb flytxt-big-data-case-studyNetweb flytxt-big-data-case-study
Netweb flytxt-big-data-case-study
 
Solving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for HealthcareSolving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for Healthcare
 
Webinar: The New Consumers of Utility Data
Webinar: The New Consumers of Utility DataWebinar: The New Consumers of Utility Data
Webinar: The New Consumers of Utility Data
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Halloween Infographic
Halloween InfographicHalloween Infographic
Halloween Infographic
 
Big Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - WhitepaperBig Data Trends and Challenges Report - Whitepaper
Big Data Trends and Challenges Report - Whitepaper
 
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITCIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the IT
 
RFT for Business Intelligence and Data Strategy
RFT for Business Intelligence and Data StrategyRFT for Business Intelligence and Data Strategy
RFT for Business Intelligence and Data Strategy
 
2019 Intelligent Technology Index
2019 Intelligent Technology Index 2019 Intelligent Technology Index
2019 Intelligent Technology Index
 
Herding Cats in the Digital World
Herding Cats in the Digital WorldHerding Cats in the Digital World
Herding Cats in the Digital World
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
 
A Real World Case Study for Implementing an Enterprise Scale Data Fabric
A Real World Case Study for Implementing an Enterprise Scale Data FabricA Real World Case Study for Implementing an Enterprise Scale Data Fabric
A Real World Case Study for Implementing an Enterprise Scale Data Fabric
 
MIS Unit 1 Dr. Vijay.pptx
MIS Unit 1 Dr. Vijay.pptxMIS Unit 1 Dr. Vijay.pptx
MIS Unit 1 Dr. Vijay.pptx
 
Postgres Vision 2018: Data as the New Oil
Postgres Vision 2018: Data as the New OilPostgres Vision 2018: Data as the New Oil
Postgres Vision 2018: Data as the New Oil
 
Are you ready for Big Data 2.0? EMA Analyst Research
Are you ready for Big Data 2.0? EMA Analyst ResearchAre you ready for Big Data 2.0? EMA Analyst Research
Are you ready for Big Data 2.0? EMA Analyst Research
 
Data Fabric Market Future Prospect
Data Fabric Market Future ProspectData Fabric Market Future Prospect
Data Fabric Market Future Prospect
 

More from DATAVERSITY

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data LiteracyDATAVERSITY
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for YouDATAVERSITY
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling FundamentalsDATAVERSITY
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectDATAVERSITY
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?DATAVERSITY
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise AnalyticsDATAVERSITY
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best PracticesDATAVERSITY
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?DATAVERSITY
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best PracticesDATAVERSITY
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
 

More from DATAVERSITY (20)

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and Governance
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data Literacy
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for You
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling Fundamentals
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best Practices
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best Practices
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
 

Recently uploaded

VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home ServiceSapana Sha
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理e4aez8ss
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...dajasot375
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
Data Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptxData Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptxFurkanTasci3
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxStephen266013
 

Recently uploaded (20)

VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
Indian Call Girls in Abu Dhabi O5286O24O8 Call Girls in Abu Dhabi By Independ...
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
Data Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptxData Science Jobs and Salaries Analysis.pptx
Data Science Jobs and Salaries Analysis.pptx
 
B2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docxB2 Creative Industry Response Evaluation.docx
B2 Creative Industry Response Evaluation.docx
 

Powering Sustainable Data Governance

  • 1. Powering a Sustainable Data Governance Program Learnings & Best Practices from
  • 2. Today’s Speakers © 2020 erwin, Inc. All rights reserved. 2 Mariann McDonagh Chief Marketing Officer erwin, Inc. Romina Medici Data Readiness Program Manager E.ON Energy
  • 3. An explosion of data across disparate silos leads to … The Enterprise Data Dilemma 3 4 “Collective sum of the world’s data will grow from 33 zettabytes this year to 175 zettabytes by 2025.” 1,000s of undocumented applications + databases “Big data presents large volumes of multi- sourced data in varied formats and types. Metadata management is mandatory.” 1,000s of business terms across different business units © 2020 erwin, Inc. All rights reserved. Sources: Network World IDC “The Digitization of the World From Edge to Core,”
  • 4. Top Drivers of Data Governance Initiatives © 2020 erwin, Inc. All rights reserved. 4 What are the top three drivers of your data governance/data intelligence initiative? [Please select three choices] Source: erwin/Dataversity State of Data Governance 2.0 Feb. 2020 And this was pre-COVID!
  • 5. Data Value Chain Bottlenecks © 2020 erwin, Inc. All rights reserved. 5 What are the most serious bottlenecks in your organization’s data value chain? [Select all that apply] Documenting complete data lineage (62%) Understanding the quality of source data (58%) Finding, identifying and harvesting data (55%) Curating data assets with business context (52%)
  • 6. © 2020 erwin, Inc. All rights reserved. 6 DATA POWERS DIGITAL TRANSFORMATION Improves Digital Experiences Enhances Digital Operations Drives Digital Innovation Builds Digital Ecosystems Data readiness is everything. And here’s why.
  • 7. About E.ON Energy © 2020 erwin, Inc. All rights reserved. 7 E.ON is an international, privately owned energy supplier based in Essen, Germany, and has around 78,000 employees. With a clear focus on three strong core businesses — Energy Networks, Customer Solutions, and Renewables — the company aims to become the partner of choice for energy and customer solutions. E.ON provides solutions for the new energy world. Its core businesses reflect the key emerging energy trends: The transformation of yesterday’s power lines into tomorrow’s smart energy networks. The increasing demand for innovative customer solutions. The global growth of renewables. Learn more at www.eon.com.
  • 8. E.ON’s Data Readiness (DaRe) Program Why Metadata Management? The Business Challenge Limited Data Access No Data Catalog Inefficient Data Usage GDPR Compliance Strict Data Policies Technical Data Management Data Governance Metadata Management © 2020 erwin, Inc. All rights reserved.
  • 9. Data Governance Technology Evaluation Criteria TCO Implementation (technical evaluation) License Costs PoC Results Hosting Selection © 2020 erwin, Inc. All rights reserved.
  • 10. Data Readiness Implement best practices and technology for all data management disciplines 8mn€ Potential value from 10 use cases 67Systems connected Global team of experts 10 Legal Entities with data governance initiatives 169Users of DG & MeDM platform 9 RUS with data quality initiatives 3 Data model implemented in erwin maturity assessment developed and offered – DaRe Framework Value calculation based on real use cases Facts&Figures © 2020 erwin, Inc. All rights reserved.
  • 11. Metadata Management Initial Results Based on the implementation of a common MeDM platform, the discipline is scaling across four countries. 18 Months in operation 44 Data domains defined Traceability of KPI’s through connection of business semantics and technical assets 8 Legal Entities on board 175 Users trained 67 Connected systems 550 Business terms created Standard reporting for platform usage and maturity progress in onboarded RUs Operating model for aligned usage and scalability defined Facts&Figures © 2020 erwin, Inc. All rights reserved.
  • 12. Data Governance Initial Results Ensures a common and compliant way of working with all RU & BU based on standards, roles, policies and understanding 18Months in operation 15 BU with data governance roles First processes defined and in alignment with RU and identification for Data Policy needs conducted 4 Commonly defined roles 50 Data owner, data stewards, technical data stewards and local DG leads announced 3 Regional units with DG as top priority in 2020 1 Aligned data governance and quality playbook Maturity overview and comparison offered to all RUs Defined frame for decision making and strategy alignment for all DG / DQM organizations Facts&Figures © 2020 erwin, Inc. All rights reserved.
  • 13. Getting Real: The Tough Questions • What were the biggest challenges in undertaking this massive project? • Which was more difficult – the technology or the culture? • How were senior executives engaged in support of the mission? • What were the biggest surprises? • What’s next for the project? • Has COVID changed priorities or driven new initiatives? • What advice do you have for others beginning the journey? © 2020 erwin, Inc. All rights reserved. 13
  • 14. Final Thoughts: Build a Data-Driven Culture © 2020 erwin, Inc. All rights reserved. 14 Accelerate time to value across the data lifecycle Ensure company-wide data compliance Demand trusted insights based on data truths Foster data- driven collaboration
  • 15. Learn More! © 2020 erwin, Inc. All rights reserved. 15 erwin.com/resources/white-papers/