Driving Data Intelligence in the Supply Chain Through the Data Catalog at TJX

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Copyright © 2022 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
Data Governance Roles & Responsibilities
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
May 19, 2022 – 11:00 a.m. PT / 2:00 p.m. ET

Data Governance Roles and Responsibilities
Robert S. Seiner
President and Principal, KIK Consulting and Educational Services
INTRO BY
Tim Gasper
VP of Product, data.world +
Co-host of Catalog & Cocktails

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CONFIDENTIAL
Governance Trends
Governance is now about data discoverability;
not just data protection
While application silos pose a governance challenge,
inclusive, agile data governance approaches pose solutions
Governance needs to be a beneﬁt, not a burden.
The friction has to go away
Business users don’t want to install software for governance,
SaaS removes all the friction and is the way to go

CONFIDENTIAL
Use case driven
Accelerators, not barriers
Enterprise
applications
Relational data
sources
Streaming data
sources
Traditional data
governance
Agile data governance
Non-invasive Iterative Collaborative

CONFIDENTIAL
Fast iterations of producers
and consumers collaborating
Data Consumer
aka Business Analyst,
Data Scientist
Data Producer
aka Data Engineer,
Data Steward,
Data Product Manager
Make this cycle faster
and more collaborative

Program team
Data engineers
Decision makers
Data analysts Data stewards
Agile
Data
Governance
Consume insights to make
better business decisions
Rapidly turn data into clean,
consumable, self-service insights
Discover the data and knowledge,
complete with documentation & metadata
High-quality, governed and
accessible data products

Invest In Your “Data Front Office”
Data Supply Chain
Transactional
Systems
ETL, MDM &
Transform
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Federated
Query
Data &
Metadata
Metadata
Collection
AI, ML &
Analytics
BI
Data
Science
ML/AI
Graph
Apps
Reverse
ETL
Enriched
Metadata
Data Front Office
Data Catalog
Metadata Repository
Metadata Profile
Field configurations, layouts,
lists, types, etc.
Usage and
Governance
Collaboration, Monitoring &
Analytics
Data Analysis
Glossary Lineage
DataOps Applications
Quality Profile &
Classify
Enhanced
Lineage
Policy Modeling

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Introduction
Real-World Data Governance – Monthly Webinar Series
June 16, 2022: The Role of Metadata in a Data Governance Program
Third Thursday each Month @ 2pm EST – Register at TDAN.com, KIKconsulting.com, DATAVERSITY.net
Public Speaking
Next Month: Dataversity’s Data Governance & Information Quality Conference West – June 6-10 in San Diego, CA
Speaking on How to Conduct a DG & IQ Best Practice Assessment (Tutorial), Data Governance and Data Mesh/Data Fabric (session)
Non-Invasive Data Governance Book
Available Now: ISBN 9781935504856 / Technics Publications / Amazon.com
Non-Invasive Data Governance / Metadata Governance Online Learning Plans
Available Now: Business Glossaries, Data Dictionaries and Data Catalogs (6 course learning plan)
DATAVERSITY Training Center – https://training.dataversity.net
The Data Administration Newsletter (TDAN.com)
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Produced by DATAVERSITY – Subscribe for emails
KIK Consulting & Educational Services
Updated Site: KIKConsulting.com (“Knowledge is King”)
Home of Non-Invasive Data Governance™
Carnegie Mellon University (CMU)
Adjunct Faculty: Heinz College Post-Graduate CDataO Programs

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• In this webinar, I will talk about:
– The Five Levels of Data Governance Roles
– A Proven Operating Model of Roles & Responsibilities
– How to Customize the Model to Meet Your Requirements
– Setting Appropriate Role Expectations
– How to Operationalize the Roles and Demonstrate Value
Abstract

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• Data Governance
• Data Stewardship
• Data Steward
Definitions
• Data Governance – Execution and Enforcement of Authority …
• Data Stewardship – Formalization of Accountability …
• Data Steward – A person that is held formally accountable for their relationship to data.
• Everybody is a Data Steward; Get Over It!

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• Framework Versus Operating Model
• Core Components
• Organizational Levels
• Cross Reference
Introducing the Data Governance Framework

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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
LEVELS
COMPONENTS
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
Copyright © 2020 – Robert S. Seiner and KIK Consulting & Educational Services, LLC
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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• What are the Levels?
– Executive Level – Sr Leadership, C-Level, Leadership Perspective
– Strategic Level – Enterprise Perspective
– Tactical Level – Cross-Business Function Perspective
– Operational Level – Business Function Perspective
– Support Level – Governing Function Perspective
The Five Levels of Data Governance Roles

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• What Should We Name the Levels?
– Executive Level – Steering Committee, Leadership
– Strategic Level – Data Governance Council, Committee, Advisory Group
– Tactical Level – Data Domain Stewards, Owners, Subject Matter Experts
– Operational Level – Data Stewards, Data Consumers, Stakeholders
– Support Level – Administration, Manager, Leader, Office

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• Who Should Participate at Each Level?
– Executive Level – People at the Top of the Organization
– Strategic Level – Committee Accountable for Program and Value
– Tactical Level – Subject Matter Experts Across the Business
– Operational Level – People That Define, Produce and Use Data
– Support Level – Program Leadership, Existing Functions, Teams

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• What are the Expectations of the People That Participate at Each Level?
– How Much of Their Time
– How Often Will They Meet
– Group or Individual Role
– Who the Role Reports To
– Who the Role Coordinates With

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• Detailed Responsibilities of the Levels
– Specific to the Role
– Details of the Role Involvement Solo or on Working Teams
– Details of the Documentation Resulting From Activating the Role
– Validate the Detailed Responsibilities With the People in the Roles

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• Pyramid Diagram
• Operating Model or Framework?
• Drawn This Way With Purpose
A Proven Operating Model of Roles & Responsibilities

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• Space in the Levels
– Space at each level represents percentage of decisions made.
– Space in the tower at the top of pyramid.
– Business Unit to Cross-Business Unit to Organization to Enterprise
– Formality to breaking down silos.
– Consistency in colors.
How to Customize the Model to Meet Your Requirements

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• Meaning of the Borders & Escalation Path
– Sections bordering represents coordination and cooperation.
– Data Governance Office administers with everybody.
– DGO facilitates working teams.
– Working teams made up of SMEs
and Data Stewards.

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• Qualifiers to Reduce Complexity
– Associated with each level.
– Minimize the bureaucracy and fear factor.
– Highlights non-invasive aspect of Data Governance.
– Important communications element.
– Language appropriate to the organization.
Exists
New
Leverage
Exists
New
Leverage
Exists

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• Executive Responsibilities
– Data Governance Steering Committee
• Identify people in their part of the organization for Data Governance Council.
• No specific day-to-day or monthly data governance activities
… except to be reported to
• Support, Sponsorship and Understanding of Data Governance
• Data Governance / Council becomes an agenda item at meetings
Setting Appropriate Role Expectations

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• Strategic Responsibilities
– Data Governance Council
• Become educated in what Data Governance means, how it can and will work for the organization
and what it means to embrace Data Governance and activate Data Domain Stewards.
• Approve things that need to be approved – i.e., Data Policy, Data Role Framework, methods,
priorities, tools, …
• Push Data Governance into their areas by actively promoting improved data governance practices.

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• Strategic Responsibilities
– Data Governance Council
• Make decisions at a strategic level in a timely manner given the appropriate knowledge to make that
decision.
• Meet regularly (or send alternate), read minutes to stay informed of Data Governance Program
activities.
• Identify and approve of pivotal data governance roles including cross-enterprise domain stewards
and coordinators.
• Advise the Data Governance Council Owner in applying data governance to Risk Management,
Compliance, Business Unit-specific governance interests.

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• Tactical Responsibilities
– Data Domain Stewards
• Responsible for ‘enterprise’ management of a domain of data.
• Identified by position (or person) as part of a single business unit or functional area.
• When acting in role of data domain steward, affiliation to business unit becomes secondary.
• Involved/facilitator in cross business unit resolution of data definition, production and usage issues.
• May or not be the authority (decision maker).
Depends on position in the organization.

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– Data Domain Stewards
• Responsible for escalating well-documented issues to the strategic level with or without
recommendation.
• Responsible for documenting data classification rules, compliance rules, business rules for data in
their domain (may delegate this).
• Responsible for making certain the rules are communicated to all stakeholders of data in that
domain (may delegate).
• Responsible for participating in tactical groups (with other domain stewards, steward coordinators,
and operational stewards) for finite periods of time to address specific issues and projects related to
their domain and business unit.

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– Data Domain Stewards Traits
• Vision of what the future of data as an asset looks like
• Looking for ways to improve the status quo
• Ability to motivate the organization
• Set an example of data-related behavior
• Team players
• Diplomatic
• Personal interest, intuitive ability and communication skills
to facilitate issue resolution to achieve a “win-win.”

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• Operational Responsibilities
– Data Stewards
• Participate in creating/reviewing data definitions
• Participate in the integrity and quality of data definition
• Producing, creating, updating, deleting, retiring, archiving data.
• Integrity and quality of the data created/updated in dept or process.
• Following rules associated w/identifying & classifying data access levels

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– Data Stewards
• Identifying and documenting regulatory and legal/risk issues
• Supporting/sharing knowledge w/ other stewards
• Communicating new/changed business requirements to individuals who may be impacted and can
influence change
• Communicating concerns, issues and problems with data to the individuals that can influence change

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– Data Stewards
• Defining the data that will be used by the organization, how that data will be used, and how that
data will be managed. (Data Definers)
• Producing, creating, updating, deleting, retiring, archiving the data that will be managed. (Data
Producers)
• Using data to perform their job and processes.
• Integrity of data usage. (Data Users)

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• Support Responsibilities
– Data Governance Planning / Office / Administrator
• Planning Team evolves into the Program Team
• Participate in Data Governance Program Development
• Architect Solution & Framework
• Assist in Administering the Program
• Facilitate the Data Governance Council meetings

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– Data Governance Planning / Office / Administrator
• Participate in the Development & Delivery of Education, Awareness & Mentoring Materials
• Report Results to Data Governance Council
• Participate in the Development & Delivery of Data Governance Policies, Standards, Guidelines, and
Procedures
• Assist in Defining Data Quality Metrics for Periodic Release
• Support Data Quality Issue Analysis/Remediation for “Strategic” Data
• Conduct Audits to Ensure Components in Place for Improving Program

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– Data Governance Partners
• Examples Include Security, HR, Legal, Audit, Communications, PMO
• Focus on Consistent Protection of Data through Classification
• Responsible for Technical Data Handling to Meet Data Classification
• Secure Infrastructure On Behalf of the Business Units
• Managing Projects to assure appropriate Data Governance

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• Responsible for championing the integration of data governance within the standard project
methodology.
• Ensure that policies, procedures and metrics are in place for maintaining & improving data quality
and the creation, capture and maintenance of metadata.
• Ensure that all “strategic” data is modeled, named, and defined consistently.
• Ensure that projects source and utilize data from the designated system of record.

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• Provide technical support for ensuring data quality.
• Provide technical support for data governance and data cleansing.
• Ensure that metadata critical to Data Governance is included and accessible.

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• Emphasize Non-Invasive Nature of the Approach
– The Path of Least Resistance and Greatest Success
– Premise That We Are Already Governing Data
– Highlight the Roles That Resemble Being Something New
– Introduce the Operating Model During Onboarding
– Get People to Recognize Themselves into the Roles in the Model
How to Operationalize the Roles and Demonstrate Value

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• Overlay the Operating Model Over Your Present Organization(s)
– Executive Level – Expand Responsibilities of an Existing Committee
– Strategic Level – Representation of Each Business Function
– Tactical Level – Recognize Existing Subject Matter Experts or Owners
– Operational Level – Everybody in the Organization
– Support Level – Recognize Existing Governing Functions

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• Activate Roles to Influence Acceptance
– Through Opportunity-Focused Working Groups
– Through Catalog-Focused Activities
• Associated with the Definition of Data
• Associated with the Production of Data
• Associated with the Usage of Data
– Through Application to Existing Projects and Programs
– Through Auditable Protection of Sensitive Data

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• Communicate Effectively With All Levels of the Model
– Orientation
• Messages Tailored to the Level
• Introduction to the Program
• Why the Program is Necessary
• The Level of Program Support
• Introduction to Governance and Stewardship
• Introduction to Terminology
• Relationship to Change Management

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– Onboarding
• How They Were Recognized Into the Role
• Roles-Based Responsibilities and Accountabilities
• Responsibility Expectations
• Availability of Job-Aids and Tools
• Gamification of Data Governance
• Policy Requirements (if they exist)

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– Ongoing
• Role-Based Successes
• Program Status
• Program Activities
• Program Value
• Measurements

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• In the webinar, we shared
– The Five Levels of Data Governance Roles
– A Proven Operating Model of Roles & Responsibilities
– How to Customize the Model to Meet Your Requirements
– Setting Appropriate Role Expectations
– How to Operationalize the Roles and Demonstrate Value
Summary

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

Driving Data Intelligence in the Supply Chain Through the Data Catalog at TJX

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