Data Modeling is Data Governance

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Copyright © 2015 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com
Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
#RWDG @RSeiner
Essential
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Real-World Data Governance
Data Modeling is Data Governance
Monthly Webinar Series Hosted by Dataversity
Robert S. Seiner – KIK Consulting / TDAN.com
September 17, 2015 – 2:00 p.m. EST
with Special Guest – Dave Hay
Robert S. Seiner
KIK Consulting & Educational Services, LLC - KIKconsulting.com
The Data Administration Newsletter, LLC - TDAN.com

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• Non-Invasive Data Governance:
The Path of Least Resistance and Greatest Success
ISBN 9781935504856 / Technics Publishing – September 2014
• DATAVERSITY Events
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A Strategic Data Framework Based on
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#RWDG @RSeiner
Essential
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• David C. Hay
– President of Essential Strategies International, a consulting firm
specializing in helping companies use information architecture to
enable them to take advantage of the latest technologies, plan their
information systems, analyze requirements, and make systems a reality.
– Author of several industry leading books
on data modeling and data model patterns.
– Expert at producing conceptual (semantic and
architectural) data models as well as various
kinds of process models.
Special Guest
My own DCH work of art.
Top Ten TDAN.com Contributor
●

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#RWDG @RSeiner
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• Data modeling is considered a staple in the world of data
management.
• The skill of the data modeler and their knowledge of the business
plays a large role in successful Enterprise Information Management
across many organizations.
• Data modeling requires formal accountability, attention to
metadata and getting the business heavily involved in data
requirement development.
• These are all traits of solid Data Governance programs.
Abstract

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#RWDG @RSeiner
Essential
Strategies
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• In this webinar Bob and Dave Hay will talk about:
– Data Modeling as Art or Science
– Role of Data Modeler in a Governance Program
– Data Modeler Skills as Governance Skills
– Modeling and Governance Best Practices
– Leveraging the Model as a Governance Artifact
Abstract

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#RWDG @RSeiner
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• Data Governance is the execution and enforcement of authority
over the management of data and data-related assets.
• Data Stewardship is the formalization of accountability for the
management of data and data-related assets.
• Data Modeling is the creation of graphic representations of the
structure of an organization’s information and data
Definitions
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#RWDG @RSeiner
Essential
Strategies
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• Non-Invasive Data Governance™
– The practice of:
• applying formal accountability & behavior
• through a non-invasive framework of roles & responsibilities
• to existing and / or new processes
• to assure that the definition, production & usage of data
• improves regulatory compliance, security, privacy & protection.
– 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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#RWDG @RSeiner
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• Business Oriented (Conceptual) Models:
– Management overview – A “sketch” presented to top management,
representing a limited number of key concepts
– Semantic Model – A representation of the language of the business,
including specialized terms, jargon, etc.—with definitions.
• Each department uses language differently.
• Large, divergent, model
– Essential Model – A representation of the underlying structure of an
organization’s structure
• Patterns encompass all departments.
• Fewer, more abstract, entities produce smaller, convergent, model
Definitions
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#RWDG @RSeiner
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• Technology-specific Models
– Logical Model – A representation that reflects the constraints of a
particular data management technology—relational tables and
columns, object-oriented classes, XML classes, etc. This should be
vendor-independent.
– Physical Model – A detailed representation of a particular database’s
design. This is vendor-specific
Definitions
●

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#RWDG @RSeiner
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• Yes
– Data Modeling definitions & structures are the “stuff” being governed.
– Data Modeling requires business stakeholder involvement
– Data Modeling as part of a data management plan …
• No
– Data Modeling is about quality data definition, while
• Data Governance is about the quality of data recorded.
– Data Modeling is a discipline apart from governance
– Data Modeling does not directly lead to governed data
Is Data Modeling Data Governance?
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#RWDG @RSeiner
Essential
Strategies
International
• Business Oriented (Conceptual) Models:
– Management overview – Top management understanding must be basis
of Governance.
– Semantic Model – Variations in definitions must be resolved in the
governance process.
– Essential Model – Enterprise essential model provides structure for
governance effort.
Kinds of Data Models
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#RWDG @RSeiner
Essential
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• Technology-specific Models
– Logical Model – The decisions that went into database design make it
more or less difficult to enter good data – hence to govern it.
– Physical Model – The detailed design of a database is not the concern of
Governors.
Kinds of Data Models
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#RWDG @RSeiner
Essential
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• Data Modeling as Art
– Well prepared data models are more or less intelligible to end users
who must use them.
– Aesthetics are important (but usually ignored, alas…)
• Data Modeling as Science
– Both semantic and essential data models are kinds of “ontologies”.
• “Ontology” was the branch of Greek
philosophy concerned with “what exists”
• Semantic and Essential models describe
rigorously what exists in an organization.
– Think of the data modeler as a “data archeologist”.
Data Modeling as Art & Science
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#RWDG @RSeiner
Essential
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• Data Modeler
– In the Facilitator Role
– As a Business Role
– As a Technician
• Data Stewards
– Data Definers
– Data Domain Stewards
– Subject Matter Experts
Role of Data Modeler in a Governance Program

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#RWDG @RSeiner
Essential
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• Data Modeler Skills
– Facilitator
– Business Liaison
– Skilled in Modeling
• Governance Skills
– Facilitator / Decision Point
– Aligns Business & Data
– Skilled in Enforcing Accountability
Data Modeler Skills as Governance Skills
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#RWDG @RSeiner
Essential
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• Data Governance Best Practice
– Senior Leadership Supports, Sponsors & Understands
– Resource(s) Responsible for Data Governance
– Goals, Objectives, Roles, Metrics … Defined and Approved
• Data Modeling Best Practice
– Listen to business community
– Understand the underlying meaning of terms
– Provide a clear picture for all to understand
– Teach the underlying nature of things.
Modeling and Governance Best Practice
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#RWDG @RSeiner
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• Leveraging the Model as a Governance Artifact
– Artifact
• An object produced by human craft
• A tool of historical interest
• By-product of specific discipline
– Definition and Design of the Data
• Conceptual Description
• Logical Description
• Physical Description
Leveraging the Model as a Governance Artifact
●

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#RWDG @RSeiner
Essential
Strategies
International
• In this webinar Bob and Dave Hay talked about:
– Data Modeling as Art & Science
– Role of Data Modeler in a Governance Program
– Data Modeler Skills as Governance Skills
– Modeling and Governance Best Practices
– Leveraging the Model as a Governance Artifact
Summary

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#RWDG @RSeiner
Essential
Strategies
International
• Real-World Data Governance – Monthly Webinar Series
– October 15 – Govern Metadata: Vocabulary, Dictionaries and Data
Upcoming Webinar
●

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#RWDG @RSeiner
Essential
Strategies
International
• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
Post Office Box 112571, Upper St. Clair, Pennsylvania 15241
412.220.9643, 412.220.9644 (Fax)
rseiner@kikconsulting.com
rseiner@tdan.com
@RSeiner
#RWDG
Contact Information
David C. Hay
Essential Strategies International
713-464-8316
DCH@EssentialStrategies.com

Data Modeling is Data Governance

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