The Data Model as a Data Governance Artifact

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Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

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Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting #RWDG @RSeiner

Robert S. SeinerKIK Consulting & Educational Services – KIKconsulting.com

The Data Administration Newsletter – TDAN.com

Real-World Data GovernanceThe Data Model as a

Data Governance ArtifactMonthly Webinar Series Hosted by Dataversity

March 17, 2016 – 2:00 p.m. EST

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Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting

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Data Model as Governance ArtifactSession Abstract

• Data Modeling lies at the core of many data management programs.

• The basic definition of data and the conceptual, logical and physical modelscan be used in many ways and benefit many people.

• Some of the uses of the Data Model may not be obvious or may not presentlybe followed by your organization.

• In this webinar, Bob will discuss:– Applying DG Best Practices to Data Modeling– The Data Model as an Effective Communications Tool– Using Data Models to Improve Data Definition, Production and Use– Appropriate Audiences for the Models– The Relationship Between Data Governance and Data Modeling





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• What is Best Practice?– Guidelines to behavior deemed to be in the organization’s best interest.– Future or present tense.– Singular or plural.– If you achieve best practice, you have a better chance of success.

Data Model as Governance ArtifactApplying DG Best Practices to Data Modeling





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• Criteria for Identifying Data Governance Best Practice– Is the Statement Practical, Do-able and will it Add Value?

“Yes” or the best practice statement should not be considered.– Is the Program At Risk if the practice is not achieved?

“Yes” or the best practice statement should not be considered.






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• Let me be clear …– I am not a Data Modeler.– I cannot tell you the best techniques for Data Modeling.– Best Data Modeling Techniques versus Best Practice– Best Practice for Data Modeling as it Relates to Data Governance– To Share … Or Not to Share … the Data Model as an Artifact






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• Data Governance Best Practice Examples:1. There is a high-level of senior management support, sponsorship, and

understanding of the activities of the Data Governance program.2. A team of Cross-Departmental resources are accountable for the

definition, development, implementation and sustainability of theProgram on a consistent and continual basis.

3. The measurements of success of the program are well defined andcommunicated with Senior Management and Stakeholders within theorganization.

4. The goals, objectives, scope, roles, rules of engagement of the Program& Team are well defined and communicated.






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• There is a high-level of senior management support, sponsorship, andunderstanding of the activities of the Data Governance program.

– Data Modeling versus Data Governance– Support and Sponsorship of Data Modeling as an Activity– Understanding of Data Modeling – Benefits / Drawbacks– Applications of Resources to Data Modeling– Data Modeling Major Efforts – Including Agile






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• A team of Cross-Departmental resources are accountable for the definition,development, implementation and sustainability of the Program on aconsistent and continual basis.

– Data Modelers are not necessarily Cross-Department– People the Data Modelers meet with are Cross-Department– Facilitators of Good Data Practices– Data Modelers Education and Tools– Data Modeling Standards and Processes






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• The measurements of success of the program are well defined andcommunicated with Senior Management and Stakeholders within theorganization.

– Percentage of Systems / Data that is Modeled– Completeness of Data Models– Data Governance Bill of “Rights”– Data Model Walk-Throughs– Data Modeling Processes Followed






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• The goals, objectives, scope, roles, rules of engagement of the Program &Team are well defined and communicated.

– Goals of Data Modeling are Defined– Roles Associated with Data Modeling are Defined– Leverage Data Governance Roles / Common Data Matrix– Data Modeling Processes are Defined– Data Models and Metadata are Approved / Made Available– Communications is the Key






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• Maximize Value of DG Assessment – Steps to Take with Best Practices1. Define Best Practice.2. Compare Present Practice to Best Practice.3. Identify Leverage-able Practices.4. Identify Opportunities to Improve Practices.5. Articulate Gap/Risk Associated with Gap.6. Plan/Deliver Actions to Address Gap.






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• Types of Data Models

– Conceptual Data Models

– Logical Data Models

– Physical Data Models

Data Model as Governance ArtifactThe Data Model as an Effective Communications Tool





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• Conceptual Data Models

– Highest Level / Least Specific / Represents Business

– Is it even a “Data” Model?

– Relationships Between Subject Areas

– Concepts Independent of any Database






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– Things That We are Concerned With

– Used Primarily as a Business Communications Tool

– Used to help People Know, Understand, Simulate the Subject of the Model






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– How will Conceptual Models assist with Data Governance associated with …• Data Definition• Data Production• Data Usage• Proactive and Reactive Processes that are Governed






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• Logical Data Models

– Detailed Representation of an Organization's Data

– Independent of any Particular Technology

– Described in Business Language

– Cheeseburger Definition versus Business Definition






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– Governed Completion Means Metadata Collected

– Larger Scope: Enterprise Data Model

– Smaller Scope: Database / System






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– Reasons for Building a Logical Data Model (Wikipedia)• Helps common understanding of business data elements and

requirements• Provides foundation for designing a database• Facilitates avoidance of data redundancy and thus prevent data

& business transaction inconsistency• Facilitates data re-use and sharing• Decreases development and maintenance time and cost• Confirms a logical process model and helps impact analysis






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– How will Logical Models assist with Data Governance associated with …• Data Definition• Data Production• Data Usage• Proactive and Reactive Processes that are Governed






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• Physical Data Models

– Contain all the Needed Physical Design Choices

– Contain Storage Parameters needed to Generate a Design

– Convertible to Data Definition Language






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– Used to Create a Database

– Synchronized with Logical Data Model

– Change Management Required






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– How will Physical Models assist with Data Governance associated with …• Data Definition• Data Production• Data Usage• Proactive and Reactive Processes that are Governed






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• How can a Data Model assist in the Governance of Data Definition?

– Discipline of a Structured Approach

– Provides a Place to Record, Store and Access Data Design

– Business and Technical Data Design

Data Model as Governance ArtifactUsing Models to Improve Data Definition, Production, Use





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• How can a Data Model assist in the Governance of Data Definition?

– All the Reasons Stated with the Logical Data Model description

– Good Data Starts with Good Data Definition

– Model Data as a Result of Governed Data Process






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• How can a Data Model assist in the Governance of Data Production?

– Standards for Logical Data Management• Business Names• Descriptions• Valid Values• Relationships / Cardinality

– Standards for Physical Data Management• Databases• Tables• Columns• Keys / Joins / Views






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• How can a Data Model assist in the Governance of Data Production?

– Standards for Application Development• Screen Reports / Labels• Front End Data Quality – Edit Checks• Data Integration Quality – Import / Export






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• How can a Data Model assist in the Governance of Data Usage?

– Improve People’s Understanding of Data

– Assist People to Locate Data

– Manage Aliases – Logical and Physical

– DIY Data Warehousing






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Data Model as Governance ArtifactAppropriate Audiences for the Models





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• Potential Audiences include:– Executive Level– Strategic Level– Tactical Level– Operational Level– Support Level






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• Executive Level– Senior Leadership / Steering Committee

• Sharing Data Models with Executives• Executives Interest in Data Models May Be Limited• Dependent on the Size of the Organization• Good for Them to Know the Models are There• Support, Sponsorship and Understanding as Best Practice






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• Strategic Level– Data Governance Council

• Sharing Data Models with the Council• Council Interest in Data Models May Be Project Focused• Dependent on the Size of the Organization• Good for Them to Know the Models are There• Depend on Data Models to Achieve Project Success






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• Tactical Level– Data Domain Stewards, Steward Coordinators, Subject Matter Experts

• Sharing Data Models with the Tactical Folks• Tactical Interest in Data Models Will Be Project Focused• Critical Component to Domain and Subject Focus• Heavy Involvement in Development of Data Models• Utilize Data Models to Achieve Project Success






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• Operational Level– Data Stewards, Everybody

• Sharing Data Models with the Stewards and Everybody• Operational Interest in Data Models Will Be an As-Needed Focused• Supplies Critical Metadata About Data Definition, Production and Use• Limited Involvement in Development of Data Models• Utilize Data Models to Understand and Use Data Properly






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• Support Level– Data Governance Team, Data Governance Partners

• Sharing Data Models with the Supporting Roles• Data Governance Assures that Data Models Assures Data Discipline• Supporting Interest in Data Models Will Be Direct-Need Focused• Direct-Need Involvement in Usage of Data Models• Utilize Data Models to Achieve Partnership Need Success






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Data Model as Governance ArtifactRelationship Between Data Governance & Data Modeling

• Data Modeling is Data Governance – RWDG Webinar / TDAN.com Article

– Data Governance is the execution and enforcement of authority overthe management of data.

– Data Modeling can be considered the execution and enforcement ofauthority over the definition of data.

– The discipline of data modeling involves the “right” people at the“right” time to define the “right” data for the organization.

– The Bill of “Rights” is the essence of Data Governance.





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– Data Stewardship is the formalization of accountability for themanagement of data.

– If you subscribe to the idea that everybody is a data steward because oftheir relationship to the data then certainly the people providinginformation and assisting the data modelers must also be datadefinition stewards.

– And to think, the people that the data modelers work with have beenplaying the data steward role way longer then the term “data steward”has been trendy.





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– Data Modeling is Data Governance – at least a piece of Governance.

– Data Modeling is the discipline that is necessary to make certain thedesign of data is the way it needs to be.

– Organizations that do not model their data have a more difficult timeimproving the value they get from their data because their databecomes riddled with inconsistency and misunderstanding.

– Ask any organization that does not model their data if their data isbeing governed.

– The sure answer will be “no”.





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Data Model as Governance ArtifactWrap Up

• Next Real-World Data Governance Webinar – 2pm EST

– April 21, 2016 – How to Implement Data Governance Best Practice

• This webinar covered –– Applying DG Best Practices to Data Modeling– The Data Model as an Effective Communications Tool– Using Data Models to Improve Data Definition, Production and Use– Appropriate Audiences for the Models– The Relationship Between Data Governance and Data Modeling





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Data Model as Governance ArtifactWrap Up





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• Robert S. SeinerKIK Consulting & Educational Services – KIKconsulting.comThe Data Administration Newsletter – TDAN.comPost Office Box 112571, Upper St. Clair, Pennsylvania 15241412.220.9643, 412.220.9644 (Fax)[email protected]@tdan.com

@RSeiner@TDAN_com#RWDG

Real-World Data GovernanceContact Information

The Data Model as a Data Governance Artifact

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