RWDG Webinar: Align Data Modeling with Data Governance

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Copyright © 2017 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
Align Data Modeling with Data Governance
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
October 19, 2017 – 2:00 p.m. EST

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#RWDG @RSeiner
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Real-World Data Governance
Current Events

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#RWDG @RSeiner
• During this webinar Bob will discuss:
– Data Modeling as a Data Governance Discipline
– Using Data Modeling to Improve the Business Understanding of Data
– Why the Data Model is a Key Data Governance Artifact
– How to Use the Data Model as an Effective Communications Tool
– Including Modeling as a Core Service Associated with Data Governance
Agenda for Today’s Webinar

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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.
Definitions

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• 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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• Data Modeling
– Data modeling is a process used to define and analyze data
requirements needed to support the business processes within the
scope of corresponding information systems in organizations.
Definitions

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• Data Modeling
– The process of data modeling involves professional data modelers
working closely with business stakeholders, as well as potential users
of the information system.
• Data Modeling is the process of learning about the data and the data
model is the result of data modeling.
Adapted from a definition from Steve Hoberman
Definitions

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Types of Data Models

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• All of the models require:
– Definition of Data
– Collection of Data Definition Metadata
– Representation of Data
– Discipline around Data
What is Consistent Across Models?

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• “To deliver appropriate models requires that the person responsible for the
model involve the appropriate people at the appropriate time …”
• Data Governance Bill of “Rights”
– Getting the “right” people
– Involved in the “right” way
– At the “right” time
– Using the “right” data
– To come to the “right” decision
– At least most of the time.
●
What is Consistent Across Models?

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Is Data Modeling Data Governance?
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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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• What are the Data Governance Disciplines?
– Three Actions of Governing Data
• Governing the Action of Defining Data
• Governing the Action of Producing Data
• Governing the Action of Using Data
Data Modeling as a Data Governance Discipline

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• Governing the Action of Defining Data
– Answer a few simple questions …
• Does your organization define data by modeling?
• Is there a process to be followed to define data?
• Do the steps include validation with customers?
• Are the steps being followed?

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• Relating Data Definition to Data Modeling
– Data definition best practices include:
• Getting the “right” people involved.
• Recording the appropriate data attributes.
• Resolving differences of opinion and understanding.

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• Governing the Action of Producing Data
– Data can only be produced as well as data is defined.
– Data Definition provides data production requirements.
– Include derived, calculated, matched, sorted, rolled up …
– Assure data producers know data requirements.

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• Relating Data Production to Data Modeling
– Governed modeled data leads to improved data quality.
– Quality definition leads to knowledgeable data production.
– Data production can be an __________ function.
• Internal – Complete control – Impose influence.
• External – Influence data definition when you can.

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• Governing the Action of Using Data
– Reduce Risk and Manage
• Protecting sensitive data – PII, PHI, IP, …
• Following compliance and reporting rules
– Improve Data Value
• Decision making b/on trusted definition/production.
• Improved interpretation of data analysis.

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• Relating Data Usage to Data Modeling
– Improve people’s knowledge of data to use.
– Improve people’s understanding of the data itself.
– Improve people’s knowledge of quality requirements.
– These improvements require governed processes.

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• Everybody is a Data Steward! Get over it!
– Accountability based on relationships to data.
– Hold people formally accountable for relationship quality.
– Stewardship based on:
• Relationships
• Rules
– Data Definers, Producers and Users are Data Stewards.
Modeling to Improve Business Understanding of Data

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• Data Definition Stewards
– Goal: To improve Data Definition through Data Modeling
– Examples of Data Definition Stewards
• Data Architects / Data Modelers
• Data Owners
• Data Integrators
• Project Managers
• Business Analysts … who else?
– Requires guidelines/rules & supervision for how data is defined.

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#RWDG @RSeiner
• Data Production Stewards
– Goal: To improve Data Production through Data Modeling
– Examples of Data Production Stewards
• Data Integrators
• System Integrators
• People that acquire data
• Super Users / Power Users
• Data manipulators … who else?
– Requires guidelines/rules & supervision for how data is produced.

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• Data Usage Stewards
– Goal: To improve Data Usage through Data Modeling
– Examples of Data Usage Stewards
• Report Writers
• Report Analysts
• Super Users / Power Users
• Data Scientists
• Anybody that uses data in their job … who else?
– Requires guidelines/rules & supervision for how data is used.

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• Data Modeling is the process of learning about the data and the data model
is the result of data modeling.
Steve Hoberman
The Data Modeling Addict – TDAN.com
The Book Look – TDAN.com
Publisher – My book on NIDG
• Steve is clearly differentiating modeling as a process …
• And the model as the tangible artifact.
• Is it the metadata in the data model that is the tangible artifact?
Why the Data Model is a Key DG Artifact

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• The Data Models become:
– The system of record for the data definition.
– Forward engineered into database design.
– Key data source of metadata for the:
• data dictionary
• business glossary
• metadata repository tool
• data governance tool
Why the Data Model is a Key DG Artifact

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• To share [data models] or not to share; That is the question.
• No seriously … That IS the question for webinar participants.
• How do YOU use your data models?
• Is data modeling a lost art?
– With the advent of agile development …
– With the expansion of big data …
Using Data Models as Communications Tool

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• To share [data models] or not to share; That is the question.
• Reason TO show the data model:
– Contains valuable definitional metadata
– Contains valuable relationship metadata
– Contains reference and valid value metadata
• Reasons NOT TO show the data model:
– Business community not interested
– Models are too large to understand;
and overwhelming.
– Really interested in the metadata;
not the model itself.

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• Reason TO compromise:
– Use the model and modeling process to collect metadata
– Share valuable definitional metadata
– Share valuable relationship metadata
– Share valuable business rule metadata
– Share reference and valid value metadata

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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
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• DGAAS – Data Governance as a Services
• What capabilities can the Data Governance Office provide to the organization?
– Data Definition Services
– Data Production Services
– Data Usage Services
Including Modeling as a Core DG Service

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– Data Definition Services
• Instill discipline in how the organization defines data
• Providing business requirements for data definition
• Providing data definition development skills
• Provide data definition tools:
– Data Model
– Data Dictionary
– Business Glossary
– Metadata Repository

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– Data Production Services
• Instill discipline in how the organization produces data
• Providing business requirements for data production
• Providing data production development skills
• Provide data production tools:
– Data Model
– Data Dictionary
– Data Movement Tools

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– Data Usage Services
• Instill discipline in how the organization uses data
• Providing business requirements for data usage
• Providing data usage development skills
• Provide data usage tools:
– Data Model
– Data Dictionary
– Data Classification and Handling Rules

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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)
• 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”.
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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

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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
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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.
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#RWDG @RSeiner
• During this webinar Bob discussed:
– Data Modeling as a Data Governance Discipline
– Using Data Modeling to Improve the Business Understanding of Data
– Why the Data Model is a Key Data Governance Artifact
– How to Use the Data Model as an Effective Communications Tool
– Including Modeling as a Core Service Associated with Data Governance
Summary

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• Questions and Answers
Summary

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• 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,
rseiner@tdan.com
@RSeiner @TDAN_com
Contact Information

RWDG Webinar: Align Data Modeling with Data Governance

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RWDG Webinar: Align Data Modeling with Data Governance