Data Management, Metadata Management, and Data Governance – Working Together

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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 Management, Metadata Management, and Data Governance
– Working Together
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
October 20, 2022 – 11:00 a.m. PT / 2:00 p.m. ET

Data Management, Metadata
Management, and Data Governance
INTRO BY
Atticus Ross-Fountain
Sales Engineer
data.world

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The Cloud-Native Data Catalog datadotworld data.world
The Cloud-Native Data Catalog
● The enterprise data catalog for the
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● Fully managed cloud-native SaaS
● Powerful metadata and data
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● Leverages the power of knowledge
graph to make data discovery,
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“Customers highlight ease of use
as a major advantage.”

The traditional model
Enterprise Information Management
Data
Governance
Data
Management
Making sure that
information is
managed properly
(Define, Enforce,
Audit, Control)
Managing and
refining data to
achieve goals
(Implement,
Operate, Refine)
Governance Council IT & Data Operations
Data Steward Data Trustee Data Engineer
Data Architect DBAs
Data Consumers
Data Analysts Data Scientists
Business Decision
Makers
SMEs App Engineers Product Mgrs

CONFIDENTIAL
What is has been...
Risk avoidance and compliance
Top-down policies
Cumbersome processes
DATA GOVERNANCE

CONFIDENTIAL
What it needs to be...
DATA GOVERNANCE
Rules of cooperation and collaboration
Process of data & analytics together
Capture knowledge in real-time

CONFIDENTIAL
Accelerators, not barriers
Enterprise
applications
Relational data
sources
Streaming data
sources
Traditional data
governance
data.world
Agile data governance
Clean, normalize, and
transform data
Data discovery, access,
and marketplace
Cross-functional
collaboration & reuse

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

data.world - the front office for data & analytics
Data Supply Chain
Transactional
Systems
ETL, MDM &
Transform
Data Lake &
Warehouse Metadata
Collection
Federated
Query
AI, ML &
Analytics
Data &
Metadata
Usage
Metadata
Enriched
Metadata
Data Front Office
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
Data Catalog: Marketplace & Governance

The Cloud Data Catalog datadotworld data.world
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Wednesdays at 4PM CT (US / Canada)
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Introduction
Real-World Data Governance – Monthly Webinar Series
November 17, 2022: Data Governance Best Practices, Assessments, and Roadmaps
Third Thursday each Month @ 2pm EST – Register at TDAN.com, KIKconsulting.com, DATAVERSITY.net
Upcoming Events
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Home of Non-Invasive Data Governance™
Carnegie Mellon University (CMU)
Adjunct Faculty: Heinz College Post-Graduate Chief Data Officer (CDO) Certificate Programs

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• In this webinar, I will talk about …
– Categories of Disciplines Focused on Managing Data as an Asset
– A Definition of Data Management That Embraces Numerous Data Disciplines
– The Importance of Metadata Management to All Data Disciplines
– Why Data and Metadata Require Formal Governance
– A Graphic That Effectively Exhibits the Relationship Between the Disciplines
Abstract

#RWDG @RSeiner
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• Data Governance – The execution and enforcement of authority over data.
• Data Stewardship – Formal accountability for data.
• Data Steward – A person held formally accountable for their relationship to the data.
• Metadata – Data that improves both the business and technical understanding of the data.
Definitions

#RWDG @RSeiner
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• Data Management – The development, execution, and supervision of plans, policies, programs,
and practices that deliver, control, protect, and enhance the value of data and information assets
throughout their lifecycles. DAMA-DMBOK
• Data Management – Coordination of all data disciplines to improve the administration of data and
data-related assets. Robert S. Seiner
• Metadata Management – Coordination of all metadata disciplines to improve the administration
of metadata and metadata-related assets.
Definitions

#RWDG @RSeiner
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• According to DAMA – Data Management is made up of these Knowledge Areas:
– Data Architecture
– Data Modeling & Design
– Data Security
– Data Integration and Interoperability
– Document & Content Management
Categories of Disciplines Focused on Managing Data as an Asset
– Reference & Master Data
– Data Warehousing & Business Intelligence
– Metadata
– Data Quality
– Data Governance

#RWDG @RSeiner
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• Can They Be Broken Down Into
1. Data Definition Disciplines
2. Data Production Disciplines
3. Data Usage Disciplines
1
2
3
1
1
2
2
1
3
1 1

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• Can They Be Broken Down Into
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3
1, 2, 3 1, 2, 3

#RWDG @RSeiner
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• Re-Envisioned DAMA Wheel
– Foundational – Data Governance, Metadata Management, Quality Management
Architecture
Modeling &
DB Design
Security
& Privacy
Integration
Unstructured
Data
Master
Data
Analytics &
Reporting
Storage
& Operations
Data Management is
Data Governance,
Metadata Management &
Quality Management of …

#RWDG @RSeiner
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• Data Management - Coordination of All Data Disciplines to Improve the Administration of Data
• Data Governance – Authority, Enforcement, Formality, Accountability, Behavior, … for Data
• Metadata Management – Administration of Data Documentation
• Quality – Focus on Data Definition, Production, Usage Value
Architecture
Modeling &
DB Design
Security
& Privacy
Integration
Unstructured
Data
Master
Data
Analytics &
Reporting
Storage
& Operations
Data Management is
Data Governance,

#RWDG @RSeiner
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• So Why Should You Care …
– Data Management Does Not Equal Data Governance
– Data Management Does Not Equal Metadata Management
– Data Management Does Not Equal Data Quality
– Data Management Equals All of These Things
– Data Management Includes All Data Disciplines
Architecture
Modeling &
DB Design
Security
& Privacy
Integration
Unstructured
Data
Master
Data
Analytics &
Reporting
Storage
& Operations
Data Management is
Data Governance,

#RWDG @RSeiner
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• Data Management can be defined as a comprehensive collection of practices, concepts, and
processes dedicated to leveraging data assets for business success and compliance with data
regulations. It spans the entire lifecycle of a given data asset from its original creation point to its
final retirement, from end to end of an enterprise. Dataversity
• Data Management is the practice of ingesting, processing, securing, and storing an organization’s
data, where it is then utilized for strategic decision-making to improve business outcomes. IBM
A Definition of Data Management That Embraces Numerous Data Disciplines

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• In a typical organization, Data Management may include the delivery of:
– Data Modeling and Data Architecture Platforms
– Data Warehousing, Business Intelligence and Analytical Platforms
– Metadata Management Platforms
– Data Quality Assurance

#RWDG @RSeiner
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• In a typical organization, Data Management may include the delivery of:
– Master Data Management
– Data Transformation – Digital and Business
– External Data and Data Ingestion
– Data Marketplace, Reporting and Visualization

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• Examples from a Client:
– Data Governance focuses on the people.
– Data Management focuses on the delivery of information technology-based outcomes.
– Information Security focused on the protection of sensitive information.

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• Focus on several types of data throughout the organization including:
– Structured Data – Typical Data Governance
– Unstructured Data – Records Management, Content Management, …
– External Data – Acquired Data
– Personal Information – Classified and Handled
– Corporate – Operational Data
– Intellectual Property – Company Protected Data

#RWDG @RSeiner
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• Metadata – Data, recorded in IT tools, that improves both the business and technical
understanding of the data and data-related assets.
• Metadata is Data About Data.
• Metadata is Data Documentation.
• The Who, What, Why, Where, When, How, … of the Data. (5W+H)
• Metadata Must Be Recorded, Kept Up to Date, and Made Available Through a Tool.
• That Tool is a Data Catalog.
The Importance of Metadata Management to All Data Disciplines

#RWDG @RSeiner
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• Metadata is Data Recorded in the Tools Associated With …
– Metadata is About the Definition of the Data Included in …
– Metadata is About the Production of the Data Included in …
– Metadata is About the Usage of the Data Included in …
• Metadata is THE BACKBONE of Each of These Disciplines …
• And the Metadata WILL NOT GOVERN ITSELF
• Metadata Governance IS A THING
Architecture
Modeling &
DB Design
Security
& Privacy
Integration
Unstructured
Data
Master
Data
Analytics &
Reporting
Storage
& Operations
Data Management is
Data Governance,

#RWDG @RSeiner
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• Data Disciplines Shown Here Will Not Function Effectively Without Metadata
– Data Disciplines Shown Here Operationalize With Metadata
– Data Disciplines Shown Here Add Business Value Through Metadata
– Data Disciplines Shown Here Depend on Metadata
• Metadata is THE BACKBONE of Each of These Disciplines …
• And the Metadata WILL NOT GOVERN ITSELF
• Metadata Governance IS A THING
Architecture
Modeling &
DB Design
Security
& Privacy
Integration
Unstructured
Data
Master
Data
Analytics &
Reporting
Storage
& Operations
Data Management is
Data Governance,

#RWDG @RSeiner
20
• Governance requires the …
– Execution and Enforcement of Authority Over the Definition of Data
– Execution and Enforcement of Authority Over the Production of Data
– Execution and Enforcement of Authority Over the Usage of Data
• Governance requires the …
– Execution and Enforcement of Authority Over the Definition of Metadata
– Execution and Enforcement of Authority Over the Production of Metadata
– Execution and Enforcement of Authority Over the Usage of Metadata
Why Data and Metadata Require Formal Governance

#RWDG @RSeiner
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• Stewardship requires the …
– Formalization of Accountability for the Definition of Data
– Formalization of Accountability for the Production of Data
– Formalization of Accountability for the Usage of Data
• Stewardship requires the …
– Formalization of Accountability for the Definition of Metadata
– Formalization of Accountability for the Production of Metadata
– Formalization of Accountability for the Usage of Metadata

#RWDG @RSeiner
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• Without the Execution and Enforcement of Authority … Data Will Go Ungoverned.
• Without the Formalization of Accountability … Data Will Go Un-Stewarded.
• For the Definition, Production, and Usage of … Data (Structured and Unstructured) and Metadata
• These Are THE Actions People Take With … Data (Structured and Unstructured) and Metadata
• The Data Will Not Govern Itself ... And Requires Formal Data Governance
• The Metadata Will Not Govern Itself … And Require Formal Metadata Governance

#RWDG @RSeiner
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A Graphic That Effectively Exhibits the Relationship Between the Disciplines
What about
Data Analytics?

#RWDG @RSeiner
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#RWDG @RSeiner
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#RWDG @RSeiner
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#RWDG @RSeiner
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• In the webinar, I shared …
– Categories of Disciplines Focused on Managing Data as an Asset
– A Definition of Data Management That Embraces Numerous Data Disciplines
– The Importance of Metadata Management to All Data Disciplines
– Why Data and Metadata Require Formal Governance
– A Graphic That Effectively Exhibits the Relationship Between the Disciplines
Summary

#RWDG @RSeiner
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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

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