RWDG Slides: Operationalize Data Governance for Business Outcomes

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Copyright © 2020 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com
Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
#RWDG @RSeiner
Real-World Data Governance
Operationalize Data Governance for Business Outcomes
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
April 16, 2020 – 11:00 a.m. PT / 2:00 p.m. ET

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#RWDG @RSeiner
Introduction
Real-World Data Governance – Monthly Webinar Series
May 21, 2020 – The Stewardship Approach to Data Governance
Third Thursday each Month @ 2pm EST – Register at TDAN.com, KIKconsulting.com, DATAVERSITY.net
Non-Invasive Data Governance Book
ISBN 9781935504856 / Technics Publishing / Amazon.com
Speaking @ DATAVERSITY Events
Enterprise Data World – Chicago, IL – October 18-23, 2020
Non-Invasive Data Governance / Metadata Governance Online Learning Plans
DATAVERSITY Training Center
https://training.dataversity.net
The Data Administration Newsletter (TDAN.com)
Twice Monthly – Data Articles, Columns, Blogs and Features
Produced by DATAVERSITY – Subscribe for emails
KIK Consulting & Educational Services
KIKConsulting.com
Home of Non-Invasive Data Governance™

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#RWDG @RSeiner
• In the webinar I will share:
– What It Means to Operationalize Data Governance
– How to Link Data Governance to Business Outcomes – Both Good and Bad
– Program Operations Designed to Provide Business Outcomes
– Using the Program Purpose to Demonstrate Value
– Ways to Engage Your Stewards Through Their Job Function
Abstract

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#RWDG @RSeiner
• Data Governance
– Data Governance is the Execution and Enforcement of Authority
Over the Management of Data and Data-Related Resources.
• Data Stewardship
– Data Stewardship is the Formalization of Accountability
Over the Management of Data and Data-Related Resources.
– A Data Steward is a person that is held formally accountable for their
relationship to the data they define, produce and use.
Definitions

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#RWDG @RSeiner
• Non-Invasive Data Governance™
– The practice of:
• applying formal accountability & behavior
• through non-invasive roles & responsibilities
• to existing and / or new processes
• to assure that the definition, production & usage of data
• assures regulatory compliance, security, privacy, protection & quality.
– Non-Invasive describes how governance is applied to assure
non-threatening management of valuable data assets.
– The goal is to be
» Transparent
» Supportive
» Collaborative.
Definitions

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• Meaning of the Word “Operationalize”
• Phases of a Data Governance Program
• What an Operationalized Data Governance Program Looks Like
• What provides for / prevents Program Operationalization
What It Means to Operationalize Data Governance

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#RWDG @RSeiner
• To “Operationalize” Data Governance
– Put your Data Governance Program into use
– Express or define in terms of Data Governance to determine or prove it
– Prove or demonstrate value from Data Governance
– Activate, start or initiate Data Governance
– Put Data Governance into action
– “Get off the shneid” – Yiddish term for breaking a scoreless streak
– Move past the definition and development phase of your program
– “A Data Governance Program that has not been operationalized …”

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#RWDG @RSeiner
• To “Operationalize” Data Governance
– Put your Data Governance Program into use
– Express or define in terms of Data Governance to determine or prove it
– Prove or demonstrate value from Data Governance
– Activate, start or initiate Data Governance
– Put Data Governance into action
– “Get off the shneid” – Yiddish term for breaking a scoreless streak
– Move past the definition and development phase of your program
– “A Data Governance Program that has not been operationalized …………..”

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• What does an Operationalized Data Governance Program look like?
– Having a defined purpose
– Examples of Data Governance purpose statements
– Suited to fulfill its purpose
– Framework for Data Governance that aligns with purpose
• Roles defined that align with the purpose
• Process defined that align with the purpose
• Communications defined that align with purpose
• Tools defined that align with purpose
• Metrics defined that align with purpose

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#RWDG @RSeiner
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Copyright © 2019 – Robert S. Seiner and KIK Consulting & Educational Services, LLC
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA GOVERNANCE FRAMEWORK
DATA
LEVELS
EXECUTIVE – SENIOR LEADERSHIP TEAM
STRATEGIC – BUSINESS & TECHNOLOGY MGMT
TACTICAL – SUBJECT MATTER EXPERTISE
OPERATIONAL – DAILY JOB FUNCTION
SUPPORT – FUNCTIONAL MANAGEMENT
COMPONENTS
DATA – ASSETS BEING GOVERNED
ROLES – FORMAL ACCOUNTABILITY
PROCESSES – APPLICATION / ENFORCEMENT
COMMUNICATIONS – EDUC, TRN, AWARENESS
METRICS – MEASUREMENTS and KPIs
TOOLS – ARTIFACTS PURCHASED / DEVELOPED

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EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA
LEVELS
COMPONENTS

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Endorse
Enforce
Authorize
Direct
Approve
Prioritize
Resolve
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Facilitate
Mediate
Promote
Operate
Manage
Handle
Formalize
Adhere
Enforce
Approve
Act
Acceptance
Participation
Performance
Subject
Quality
Metrics
Accountability
Efficiency
Effectiveness
Collect
Report
Policy
Directive
Audit
Charter
Best Practices
Guidelines
Roadmap
Standards
Requirements
Workflows
Glossary
Dictionary
Catalog
Repository
DG Tools
Metadata Tools
KIK Artifacts
Support
Sponsor
Understand
Status
Evaluate
Commend
Standards
Subject Area
Project
Orientation
Onboard
Ongoing
Plan
Develop
Deliver
Leadership
Steering
Committee
Preside
DG Program
DG Council
Domain Stewards
Data Owners
SMEs
Operational
Data Stewards
Users
Prog Mgmt
Admin
Work Groups
Partners
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
NON-INVASIVE DATA GOVERNANCE™ FRAMEWORK
Leadership
Dashboard
KPIs
Enterprise
Performance
Subject Area
X-Business Unit
Business Unit
Function
Accountability
Inventory
Metadata
DATA
LEVELS
COMPONENTS

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#RWDG @RSeiner
Endorse
Enforce
Authorize
Direct
Approve
Prioritize
Resolve
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Facilitate
Mediate
Promote
Operate
Manage
Handle
Formalize
Adhere
Enforce
Approve
Act
Acceptance
Participation
Performance
Subject
Quality
Metrics
Accountability
Efficiency
Effectiveness
Collect
Report
Policy
Directive
Audit
Charter
Best Practices
Guidelines
Roadmap
Standards
Requirements
Workflows
Glossary
Dictionary
Catalog
Repository
DG Tools
Metadata Tools
KIK Artifacts
Support
Sponsor
Understand
Status
Evaluate
Commend
Standards
Subject Area
Project
Orientation
Onboard
Ongoing
Plan
Develop
Deliver
Leadership
Steering
Committee
Preside
DG Program
DG Council
Domain Stewards
Data Owners
SMEs
Operational
Data Stewards
Users
Prog Mgmt
Admin
Work Groups
Partners
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
NON-INVASIVE DATA GOVERNANCE™ FRAMEWORK
Leadership
Dashboard
KPIs
Enterprise
Performance
Subject Area
X-Business Unit
Business Unit
Function
Accountability
Inventory
Metadata
DATA
LEVELS
COMPONENTS

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#RWDG @RSeiner
• Examples of Data Governance Purpose Statements
– To use strategic data with confidence.
– To protect classified information.
– To provide G.R.E.A.T. Data.
Governed – Repetitive – Engaged – Accessible – Trusted
– To strategically manage data assets to have accurate, trusted, secure,
business-ready data to help protect and serve.
– To improve how data is managed as an asset.

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• Simplified Phases of a Data Governance Program
– Define and Sell the Value of Data Governance to Leadership
– Gain Resources Required to Design and Develop the Program
– Select an Approach to Data Governance
– Design and Develop the Program
– Operationalize the Program
– Measure the Program

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#RWDG @RSeiner
• Business Outcomes Can Be Good or Bad
• Through the “Execution and Enforcement of Authority”
• Through the “Formalization of Accountability”
• Through the Improved Understanding of Data and Data-Related Assets.
• Through Improved Efficiency and Effectiveness Related to Formality
How to Link Data Governance to Business Outcomes

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#RWDG @RSeiner
– Good Business Outcomes
• Results from Improved Understanding and Confidence in the Data
• Results from Improved Protection of Data
• Results from Improved Access to Data
• Results from Improved Quality of Data
• Results from Improved Decision-Making Based on Data
• Results from Improved Efficiency and Effectiveness with Data

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#RWDG @RSeiner
– Bad Business Outcomes
• Results from Inability to Understand and Lack of Confidence in the Data
• Results from Inability to Protect Data
• Results from Inability to Access Data
• Results from Poor Quality of Data
• Results from Inability to Making Decisions Based on Data
• Results from Inefficiency and Ineffectiveness Use of Data

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#RWDG @RSeiner
• Through the “Execution and Enforcement of Authority”
– Execution = Operationalized Performance
– Enforcement = Operationalized Administration
– Authority = Operationalized Power

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• Through the “Formalization of Accountability”
– Formalization = Operationalized Validation
– Accountability = Operationalized Responsibility

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• Through the Improved Understanding of Data and Data-Related Assets.
– Deployment of a Business Glossary
– Deployment of a Data Dictionary
– Deployment of a Data Catalog
– Deployment of a Metadata Repository
– Deployment of a “Home for Data Governance”

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• Through Improved Efficiency and Effectiveness Related to Formality
– Flipping the 80 / 20 Rule
– Accessing Appropriate Data
– Researching the Data
– Making Decisions
– Knowing Who to Ask a Question / Address an Issue

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• Data Governance Core Components
• Required Senior Leadership Support, Sponsorship and Understanding
• Detailed Roles and Responsibilities
• Formalized Stewardship
• Repeatable Processes
Program Operations Designed to Provide Business Outcomes

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#RWDG @RSeiner
• Data Governance Core Components
– Data
– Roles
– Processes
– Communications
– Metrics
– Tools
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA
LEVELS
COMPONENTS

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#RWDG @RSeiner
• Required Senior Leadership Support, Sponsorship and Understanding
– Best Practice Numero Uno
– Criteria One – Practical and Doable Given for Your Organization
– Criteria Two – Operationalizing Your Program Program at Risk Without It
– Four questions that need to be answered per each practice.
– Operations will always depend on Support, Sponsorship and Understanding.

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#RWDG @RSeiner
• Detailed Roles and Responsibilities Required to Operationalize
– Executive Level
– Strategic Level
– Tactical Level
– Operational Level
– Support Level
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA
LEVELS
COMPONENTS

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#RWDG @RSeiner
• Formalized Stewardship
– Formal accountability for the management of data.
– A person is a Data Steward if they are held formally accountable for data.
– Data Stewards operationalize Data Governance.
– “Everybody is a Data Steward; Get Over It!”
– Only way to completely cover and operationalize Data Governance.

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– Processes are a key to operationalizing Data Governance.
– Proactive processes
– Reactive processes
– Include Opportunity Intake
– Include Artifact Approval
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA
LEVELS
COMPONENTS

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#RWDG @RSeiner
– Processes are a key to operationalizing Data Governance.
– Proactive processes
– Reactive processes
– Include Opportunity Intake
– Include Artifact Approval
• All other components apply
to operationalization as well.
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA
LEVELS
COMPONENTS

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#RWDG @RSeiner
• Selecting an Appropriate Purpose / Vision [Statement]
• Designing the Program Fit for Purpose
• Extending Beyond the Initial Purpose – To Infinity and Beyond
• Demonstrating Value – Metrics and Measurements
• Communicating Value to the People That Matter
Using the Program Purpose to Demonstrate Value

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#RWDG @RSeiner
• Selecting an Appropriate Purpose / Vision [Statement] – repeat from earlier
– To use strategic data with confidence.
– To protect classified information.
– To provide G.R.E.A.T. Data.
– Governed – Repetitive – Engaged – Accessible – Trusted
– To strategically manage data assets to have accurate, trusted, secure,
business-ready data to help protect and serve.
– To improve how data is managed as an asset.

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#RWDG @RSeiner
• Designing the Program Fit for Purpose
– To build confidence in the data people use.
– To protect sensitive information – PII, PHI, IP, …
– To improve the quality of data.
– To engage people and help them to understand their role in G.R.E.A.T. data.
– To provide business-ready data to your constituents.
– To provide data that is managed as an asset.

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• Extending Beyond the Initial Purpose – To Infinity and Beyond
– Utilize Operating Model in different ways.
– Develop new processes to address different opportunities.
– Extend unique ways to communicate.
– Discover new ways to measure success.
– Utilize new tools to enable new capabilities.

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• Demonstrating Value – Metrics and Measurements
– Acceptability – Customer Satisfaction
– Business Value – Efficiency, Effectiveness, ROI, Decision-Making
– Involvement – Incremental Expansion Across the Organization
– Make Metrics Auditable – “No Facts Without Data”
– Deliver Metrics as Part of Continuous Communications

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• Communicating Value to the People That Matter
– Who are the people that matter?
– Senior Leadership and the Like … Steering Committee
– Business Leaders … Data Governance Council
– Subject Matter Experts … Data Domain Stewards
– Data Stewards … Everybody in the Organization
– Supporting Function … Partners such as IT, Security, HR, PMO, …
– External … Customers and Prospects, Business Partners, Auditors, …

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#RWDG @RSeiner
• Recognizing Definers, Producers and Users
• Rules of Becoming a Data Steward
• Everybody is a Data Steward; Get Over It!
• A Steward is a Steward if They Are Held Formally Accountable
• Engage Stewards Through Formalized Process
Ways to Engage Your Stewards Through Their Job Function

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#RWDG @RSeiner
• Recognizing Definers, Producers and Users
– People are already defining, producing and using data as part of their job.
– “Recognize” – Not “Assign” (Command and Control Approach)
– “Recognize” – Not “Identify” (Traditional Approach)
– Data Definition Stewards – People held formally accountable for defining data.
– Data Production Stewards – … producing data.
– Data Usage Stewards – … using and consuming data.
– Everybody is a Data Steward.

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• Seiner’s Rules of Becoming a Data Steward
1. A Data Steward Can Be Anybody
2. Data Stewards Describe a Relationship to Data and Is Not a Position
3. A Data Steward Is Not Hired to Be a Data Steward
4. A Data Steward Doesn’t Need the Title of Data Steward
5. A Data Steward Doesn’t Have to Be Told How to Do His or Her Job
6. Public or Industry Data-Steward Certification Is a Load of Bunk
7. More Than One Data Steward Exists for Each Type of Data
8. Data-Steward Training Should Focus on Formalizing Accountability

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#RWDG @RSeiner
• Everybody is a Data Steward; Get Over It!
– The fact that everybody is a data steward provides complete and absolute
coverage of all the people that must be held formally accountable for your
data.
– Organizations must first inventory and record how people are related to the
data and design their Data Governance Programs to address the idea that
everybody in the organization is a steward of the data.

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#RWDG @RSeiner
• A Steward is a Steward if They Are Held Formally Accountable
– Being held accountable is a big part of operationalizing something.
– Management must agree to holding people accountable.
– Being accountable means that there must be consequences.
– People must not have the ability to opt-out of being a Data Steward.
– That is why I repeat that “Everybody is a Steward” ad-nauseum.

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#RWDG @RSeiner
• Engage Stewards Through Formalized Process
– Formalized Process for Defining Data
– Formalized Process for Producing Data (and bringing in data)
– Formalized Process for Using Data (and requesting access to data)
– Use a RACI Matrix to Formalize Process
– Data Governance Administrator Required for Operational Assurance

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#RWDG @RSeiner
• In the webinar I shared:
– What It Means to Operationalize Data Governance
– How to Link Data Governance to Business Outcomes – Both Good and Bad
– Program Operations Designed to Provide Business Outcomes
– Using the Program Purpose to Demonstrate Value
– Ways to Engage Your Stewards Through Their Job Function
Summary

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#RWDG @RSeiner
Questions and Answers
Meet me in the Dataversity Community
to continue the conversation.
https://community.dataversity.net/

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#RWDG @RSeiner
• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
412.220.9643 rseiner@tdan.com @RSeiner
Contact Information

RWDG Slides: Operationalize Data Governance for Business Outcomes

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RWDG Slides: Operationalize Data Governance for Business Outcomes