Real-World Data Governance: Managing Data & Information as an Asset - Governance End Game

1

Copyright © 2013 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.comCopyright © 2013 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

Non-Invasive Data GovernanceNon-Invasive Data Governance™ ™ is a trademark of Robert S. Seiner & KIK Consulting is a trademark of Robert S. Seiner & KIK Consulting Twitter About This Webinar at #RWDGTwitter About This Webinar at #RWDG

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

The Data Administration Newsletter – TDAN.comThe Data Administration Newsletter – TDAN.com

Real-World Data GovernanceReal-World Data GovernanceManaging Data and Information as an AssetManaging Data and Information as an Asset

Governance End GameGovernance End GameWhat Does Governed Data Look Like / What Does It Take to Get ThereWhat Does Governed Data Look Like / What Does It Take to Get There

Monthly Webinar Series Hosted by DataversityMonthly Webinar Series Hosted by DataversityRobert S. Seiner – KIK Consulting / TDAN.comRobert S. Seiner – KIK Consulting / TDAN.com

February 21, 2013 – 2:00 p.m. ESTFebruary 21, 2013 – 2:00 p.m. EST

2



• Real-World Data Governance – 2013 Monthly Webinar SeriesReal-World Data Governance – 2013 Monthly Webinar Series March 21: Governing Data through MetadataMarch 21: Governing Data through Metadata April 18: What is a Data Steward and What Do They Do?April 18: What is a Data Steward and What Do They Do?

Rescheduled from January 2013 – Don’t Miss This One!Rescheduled from January 2013 – Don’t Miss This One! May 16: Comparing World Class Solutions in Data GovernanceMay 16: Comparing World Class Solutions in Data Governance

Panel of Practitioners Q&APanel of Practitioners Q&A June 19: The Data Governance Road Show from DGIQJune 19: The Data Governance Road Show from DGIQ

Interviews with Thought Leaders – Special Wed Date Live from ConferenceInterviews with Thought Leaders – Special Wed Date Live from Conference July 18: Governing Master DataJuly 18: Governing Master Data

• Visit Visit Dataversity.NetDataversity.Net for Information About All of These for Information About All of These

Real-World Data GovernanceReal-World Data GovernanceUpcoming Webinars & PresentationsUpcoming Webinars & Presentations

3



• Enterprise Data World (EDW) Conference Enterprise Data World (EDW) Conference April 28 to May 2, 2013 – San Diego, CaliforniaApril 28 to May 2, 2013 – San Diego, California Good (Data Governance) to Great (Data Governance)Good (Data Governance) to Great (Data Governance)

• Data Governance Information Quality (DGIQ) ConferenceData Governance Information Quality (DGIQ) Conference June 17-20, 2013 – San Diego, CaliforniaJune 17-20, 2013 – San Diego, California How to Develop a Practical Set of Data Governance RolesHow to Develop a Practical Set of Data Governance Roles Role of Politics, Culture & Authority in Governing Data (w/Danette McGilvray)Role of Politics, Culture & Authority in Governing Data (w/Danette McGilvray)

• Visit Visit Dataversity.NetDataversity.Net for Information About All of These for Information About All of These

Real-World Data GovernanceReal-World Data GovernanceUpcoming Webinars & PresentationsUpcoming Webinars & Presentations

4



• Walk Softly: Why Non-Invasive Data Governance WinsWalk Softly: Why Non-Invasive Data Governance Wins– Article by Jelani HarperArticle by Jelani Harper

http://www.dataversity.net/walk-softly-why-non-invasive-data-governance-wins/ http://www.dataversity.net/walk-softly-why-non-invasive-data-governance-wins/

• Enterprise Data World Speaker SpotlightEnterprise Data World Speaker Spotlight– Interview of Bob Seiner with Charles RoeInterview of Bob Seiner with Charles Roe

http://www.dataversity.net/speaker-spotlight-column-an-interview-with-robert-s-seiner/http://www.dataversity.net/speaker-spotlight-column-an-interview-with-robert-s-seiner/

• Stay Tuned for More Goodies on Stay Tuned for More Goodies on Dataversity.netDataversity.net

Real-World Data GovernanceReal-World Data GovernanceAlso on Dataversity.netAlso on Dataversity.net

5



• All data-oriented professionals talk about All data-oriented professionals talk about “managing data as an asset”.“managing data as an asset”.

• It makes sense to most people that data and information are the It makes sense to most people that data and information are the backbone on which backbone on which the organization operatesthe organization operates and therefore attention needs to be paid to how that data and therefore attention needs to be paid to how that data is defined, produced and used.is defined, produced and used.

• And it also makes sense that And it also makes sense that governance must be applied to all valued assets governance must be applied to all valued assets including the data and information.including the data and information.

• But … if you ask professionals what governed data looks like and how it is different But … if you ask professionals what governed data looks like and how it is different from ungoverned data they will typically point to from ungoverned data they will typically point to improvements in data qualityimprovements in data quality..

• The truth is that the The truth is that the Governance End Game Governance End Game can go way beyond improvements in can go way beyond improvements in data quality.data quality.

Governance End GameGovernance End GameAbstractAbstract

6



• The first Real-World Data Governance webinar of the 2013 calendar year The first Real-World Data Governance webinar of the 2013 calendar year (January (January was rescheduled for April 2013)was rescheduled for April 2013) will focus on the specifics of managing data as an will focus on the specifics of managing data as an asset, what governed data looks like, the value add and what it takes to get there.asset, what governed data looks like, the value add and what it takes to get there.

• You may be surprised by the You may be surprised by the different ways that governed data’s value adddifferent ways that governed data’s value add can be can be articulated for your organization.articulated for your organization.

• Join Join Bob Seiner Bob Seiner and and DATAVERSITYDATAVERSITY for the first for the first “Real-World Data Governance” “Real-World Data Governance” webinar of the year and walk away with proven methods of managing data as an webinar of the year and walk away with proven methods of managing data as an asset and communicating the value of governed data.asset and communicating the value of governed data.

Governance End GameGovernance End GameAbstractAbstract

7



• Webinar SummaryWebinar Summary

– Definitions – Non-Invasive Data Governance™Definitions – Non-Invasive Data Governance™

– Managing Data as an AssetManaging Data as an Asset

– Data Versus InformationData Versus Information

– Governance End Game / Value AddedGovernance End Game / Value Added

– What Does Governed Data Look Like?What Does Governed Data Look Like?

– What Does It Take to Get There?What Does It Take to Get There?

• Questions & AnswersQuestions & Answers

Governance End GameGovernance End GameAgendaAgenda

8



• What is meant by Non-Invasive Data Governance™?:What is meant by Non-Invasive Data Governance™?:

With Data Governance in General:With Data Governance in General:

– Many organizations view Data Governance as being Many organizations view Data Governance as being over-and-aboveover-and-above normal normal work efforts and threatening to the existing work culture of the organization.work efforts and threatening to the existing work culture of the organization.

It does not have to be that way.It does not have to be that way.

– Many organizations have a difficult time getting people to adopt Data Many organizations have a difficult time getting people to adopt Data Governance best practices because of a common belief that Data Governance is Governance best practices because of a common belief that Data Governance is about command-and-controlabout command-and-control. .


– While I firmly state that Data Governance is “the execution and enforcement of While I firmly state that Data Governance is “the execution and enforcement of authority over the management of data”, nowhere in that definition does it say authority over the management of data”, nowhere in that definition does it say that Data Governance has to be that Data Governance has to be invasive or threatening invasive or threatening to the work, people and to the work, people and culture of the organization.culture of the organization.


Governance End GameGovernance End GameDefinitionsDefinitions

9




With Non-Invasive Data Governance™:With Non-Invasive Data Governance™:

– Data steward responsibilities are identified and recognizedData steward responsibilities are identified and recognized, formalized and , formalized and engaged according to their existing responsibility rather than being assigned or engaged according to their existing responsibility rather than being assigned or handed to people as more work. handed to people as more work.

– The governance of data is applied to existing policies, standard operating The governance of data is applied to existing policies, standard operating procedures, practices, and methodologies procedures, practices, and methodologies … rather than being introduced or … rather than being introduced or emphasized as new processes or methods. emphasized as new processes or methods.

– The governance of data augments and supports The governance of data augments and supports all data integration, risk all data integration, risk management, business intelligence and master data management activities management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. rather than imposing inconsistent rigor to these initiatives.


10




With Non-Invasive Data Governance™:With Non-Invasive Data Governance™:

– Specific attention is paid to assuring senior management’s understanding Specific attention is paid to assuring senior management’s understanding of a of a practical and non-threatening yet effective approach to governing data that will practical and non-threatening yet effective approach to governing data that will be taken to mediate ownership and promote stewarding of data as a cross-be taken to mediate ownership and promote stewarding of data as a cross-organization asset, rather than the traditional method of “you will do this”. organization asset, rather than the traditional method of “you will do this”.

– Best practices and key concepts of the non-threatening approach are Best practices and key concepts of the non-threatening approach are communicated effectivelycommunicated effectively, compared to existing practices to identify and , compared to existing practices to identify and leverage strengths and enable the ability to address opportunities to improve. leverage strengths and enable the ability to address opportunities to improve.


11



• Data GovernanceData Governance– Data Governance is the Data Governance is the Execution and Enforcement of Authority Execution and Enforcement of Authority

Over the Management of Data and Data-Related Resources.Over the Management of Data and Data-Related Resources.Robert S. Seiner Robert S. Seiner

• Data StewardshipData Stewardship– Data Stewardship is the Data Stewardship is the Formalization of AccountabilityFormalization of Accountability

Over the Management of Data and Data-Related Resources.Over the Management of Data and Data-Related Resources.Robert S. Seiner Robert S. Seiner

Recent Client DefinitionsRecent Client Definitions

Formalization of behavior around the definition, production and Formalization of behavior around the definition, production and usage of data to manage risk and improve quality and usability of usage of data to manage risk and improve quality and usability of selected data.selected data.

Formalization and guidance for behavior over the definition, Formalization and guidance for behavior over the definition, production and use of information and information related assets.production and use of information and information related assets.


12



• Non-Invasive Data Governance™Non-Invasive Data Governance™– The practice of:The practice of:

• applying formal accountability & behavior applying formal accountability & behavior • through non-invasive roles & responsibilitiesthrough non-invasive roles & responsibilities• to existing and / or new processesto existing and / or new processes• to assure that the definition, production & usage of datato assure that the definition, production & usage of data• assures regulatory compliance, security, privacy, protection & quality.assures regulatory compliance, security, privacy, protection & quality.

– Non-Invasive describes how governance is applied to assureNon-Invasive describes how governance is applied to assurenon-threatening management of valuable data assets.non-threatening management of valuable data assets.

– The goal is to beThe goal is to be transparent, supportive, collaborative. transparent, supportive, collaborative.


13



• [to] [to] gov·ern gov·ern [data][data]v.v. gov·erned, gov·ern·ing, gov·erns gov·erned, gov·ern·ing, gov·erns – To make and administer the public policy and affairs To make and administer the public policy and affairs [of data][of data]– To exercise sovereign authority To exercise sovereign authority [in data][in data]– To control the speed or magnitude To control the speed or magnitude [of data][of data]– To regulateTo regulate [data] [data] – To control the actions or behavior To control the actions or behavior [of data] [of data] – To keep under control To keep under control [data][data];; to restrain to restrain [data] [data] – To exercise a deciding or determining influence To exercise a deciding or determining influence [on data] [on data] – To exercise political authority To exercise political authority [over data] [over data] – To have or exercise a determining influence To have or exercise a determining influence [over data] [over data]

FreeDictionary.com FreeDictionary.com [Bob Seiner][Bob Seiner]


14



• What does it mean to Manage something as an Asset?What does it mean to Manage something as an Asset?– Asset management, broadly defined, refers to Asset management, broadly defined, refers to any system that monitors and any system that monitors and

maintains things of value to an entity or groupmaintains things of value to an entity or group..

– It may apply to both It may apply to both tangible assets tangible assets such as buildings and to such as buildings and to intangible concepts intangible concepts such as intellectual property and goodwill. such as intellectual property and goodwill.

– Asset management is a Asset management is a systematic process of operating, maintaining, upgrading, systematic process of operating, maintaining, upgrading, and disposing of assets cost-effectivelyand disposing of assets cost-effectively..

WikipediaWikipedia

Governance End GameGovernance End GameManage as an AssetManage as an Asset

15



• What does it mean to Manage something as an Asset?What does it mean to Manage something as an Asset?– Do we presently manage Do we presently manage DataData as an as an AssetAsset??

– Do we presently considerDo we presently consider Data Data to be an to be an AssetAsset??

– What will it take to manage What will it take to manage DataData as an as an AssetAsset??

– Who do we need to convince that we must manage Who do we need to convince that we must manage DataData as an as an AssetAsset??


16



• What does Data that is Managed as an Asset Look Like?What does Data that is Managed as an Asset Look Like?– It has Improved Documented Business UnderstandingIt has Improved Documented Business Understanding– It Improves Decision Making CapabilitiesIt Improves Decision Making Capabilities– It Formalizes Enforcement of Risk Management ActivitiesIt Formalizes Enforcement of Risk Management Activities

• Security, Compliance, Classification, Protection, RetentionSecurity, Compliance, Classification, Protection, Retention– It Improves Processes and the Improvement ofIt Improves Processes and the Improvement of

• Communications, Cooperation, Coordination, CollaborationCommunications, Cooperation, Coordination, Collaboration

• How Does this Differ from What How Does this Differ from What Governed Data Governed Data Looks Like?Looks Like?


17



• What does Data that is Managed as an Asset Look Like?What does Data that is Managed as an Asset Look Like?– Improved in the Dimensions of Data QualityImproved in the Dimensions of Data Quality

• AccessibilityAccessibility – Data accessibility must be defined and managed in – Data accessibility must be defined and managed in accordance with appropriate Organization Business Rules for access and accordance with appropriate Organization Business Rules for access and local and Federal Rules and Regulations.local and Federal Rules and Regulations.

• AccuracyAccuracy – Data must correctly reflect the real world object or an event – Data must correctly reflect the real world object or an event being described to enable informed decision-making at all levels.being described to enable informed decision-making at all levels.

• CompletenessCompleteness – All expected, mandatory attributes of data will be provided. – All expected, mandatory attributes of data will be provided.• ConsistencyConsistency – – Data across CompanyData across Company must be in synch with each other. must be in synch with each other.• Relevance (Non-Obsolete) Relevance (Non-Obsolete) – Data managed as an asset must be relevant to – Data managed as an asset must be relevant to

the business and retired when obsolete.the business and retired when obsolete.• TimelinessTimeliness – Data must be up-to-date, produced in a timely manner and – Data must be up-to-date, produced in a timely manner and

appropriate for the task at hand to support information needs.appropriate for the task at hand to support information needs.• UniquenessUniqueness – Duplicate data must be avoided at all times. – Duplicate data must be avoided at all times.


Does this alsoDoes this alsohold as true for hold as true for

InformationInformationas well as Data?as well as Data?

18



• What is Information to Organizations Focusing on What is Information to Organizations Focusing on Information GovernanceInformation Governance??

– Governance of People, Process, Data and Use of TechnologyGovernance of People, Process, Data and Use of Technology

– Governance of Data, Technology and ProcessesGovernance of Data, Technology and Processes

– Governance of Data, Technology and PolicyGovernance of Data, Technology and Policy

– Governance of Data, Meta-Data, Content, KnowledgeGovernance of Data, Meta-Data, Content, Knowledge

– Governance of RecordsGovernance of Records

• There is not a Single Way (Only Way) to Define “Information Governance”!There is not a Single Way (Only Way) to Define “Information Governance”!

– At least not yet.At least not yet.

Governance End GameGovernance End GameInformation Versus DataInformation Versus Data

19



• Is there a Difference Between Managing Data and Information as an Asset?Is there a Difference Between Managing Data and Information as an Asset?• DataData• Meta-DataMeta-Data• ProcessProcess• ContentContent• RecordsRecords• DocumentsDocuments• EmailEmail• Project InformationProject Information• ContractsContracts


20


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

• Structured DataStructured Data(Data)(Data)– People & ProcessesPeople & Processes

• DataData• Meta-DataMeta-Data• Use of TechnologyUse of Technology

• Unstructured DataUnstructured Data(Information)(Information)– People & ProcessesPeople & Processes

• KnowledgeKnowledge• DocumentsDocuments• RecordsRecords• ContentContent• PolicyPolicy• EmailEmail• Use of TechnologyUse of Technology


Is this the wayIs this the wayyou look at it?you look at it?

21



• Information / Unstructured Data Information / Unstructured Data LocationLocation

– Share PointShare Point

– Personal / Personnel DesktopsPersonal / Personnel Desktops

– Servers / Mail ServersServers / Mail Servers

– Document Management SystemsDocument Management Systems

– Record Management SystemsRecord Management Systems

– Content Management SystemsContent Management Systems

– Filing CabinetFiling Cabinet

– Pile Management Systems (PMS)Pile Management Systems (PMS)


22



• Getting Business to Tell Us What the Getting Business to Tell Us What the Governance End Game Governance End Game Looks Like:Looks Like:

– Inconsistencies in the definition, production and use of specific critical pieces of Inconsistencies in the definition, production and use of specific critical pieces of data across the company prevent the ability to …data across the company prevent the ability to …

– Data Governance provides a formal framework of roles and processes that will Data Governance provides a formal framework of roles and processes that will enable CCS to …enable CCS to …

– Key Concepts Shared …Key Concepts Shared …

• Let’s Look at these IndividuallyLet’s Look at these Individually

Governance End GameGovernance End GameValue Add of Governing DataValue Add of Governing Data

23



• Getting the Business to Tell Us Where Getting the Business to Tell Us Where Governance will Add ValueGovernance will Add Value

– Inconsistencies in the definition, production and use of specific critical pieces of Inconsistencies in the definition, production and use of specific critical pieces of data across the company prevent the ability to … (examples) data across the company prevent the ability to … (examples) • Compare costs across regionsCompare costs across regions• Identify the best place to get substitute materialsIdentify the best place to get substitute materials• Provide sophisticated ad-hoc cross company analysisProvide sophisticated ad-hoc cross company analysis• Leverage capacity and material useLeverage capacity and material use• Manage planning for supply chain and demand globallyManage planning for supply chain and demand globally• Reduce overall investment in capital improvementsReduce overall investment in capital improvements• Target areas where cross company comparisons will add the most value Target areas where cross company comparisons will add the most value


24




– Data Governance provides a formal framework of roles and processes that will Data Governance provides a formal framework of roles and processes that will enable our Organization to …enable our Organization to …• Identify specific pieces of data that prevent the previous in-capabilitiesIdentify specific pieces of data that prevent the previous in-capabilities• Formally address accountability and ownership of that dataFormally address accountability and ownership of that data• Formally investigate and report the benefit and gain from data consistencyFormally investigate and report the benefit and gain from data consistency• Formally investigate and report the cost associated with the benefit/gainFormally investigate and report the cost associated with the benefit/gain• Formally identify the resources and time required to achieve the benefit/gain Formally identify the resources and time required to achieve the benefit/gain • Formally decide the best approach to build consistency in that dataFormally decide the best approach to build consistency in that data• Complete the process of building consistency in the dataComplete the process of building consistency in the data


25




– Key Concepts Shared …Key Concepts Shared …• Don’t let perfection get in the way of progress.Don’t let perfection get in the way of progress.• Point of diminishing returns – to determine what data projects should be Point of diminishing returns – to determine what data projects should be

completed.completed.• Concerned of resources – people and timeConcerned of resources – people and time• Stay away from “data perfection” – address specific inconsistencies that Stay away from “data perfection” – address specific inconsistencies that

provide most valueprovide most value• Secondary – focus on “political” value of consistency in product, category, Secondary – focus on “political” value of consistency in product, category,

customer definitioncustomer definition


26



• What is the What is the “Governance End Game”“Governance End Game”? Questions to help us …? Questions to help us …

– Will Data Governance Best Practices help us to see the Will Data Governance Best Practices help us to see the “Governance End Game”“Governance End Game”??

– Can we accurately describe the difference between how we manage data now and Can we accurately describe the difference between how we manage data now and what data managed as an asset looks like?what data managed as an asset looks like?

– How do we define appropriate Data Governance Best Practices?How do we define appropriate Data Governance Best Practices?

– How do we use these Best Practices to describe the How do we use these Best Practices to describe the “Governance End Game”“Governance End Game”??


27



• Data Governance Best Practices to Get Them to Tell You How to ProceedData Governance Best Practices to Get Them to Tell You How to Proceed

– Two Criteria to Determine What is a Best PracticeTwo Criteria to Determine What is a Best Practice• Is it Practical and Doable and Will It Add Value?Is it Practical and Doable and Will It Add Value?• Will the Governance Program be at Risk?Will the Governance Program be at Risk?


28



• Data Governance Best Practices to Get Them to Tell You How to ProceedData Governance Best Practices to Get Them to Tell You How to Proceed– Data Governance Best Practices are defined as the basis and Data Governance Best Practices are defined as the basis and guideline for the guideline for the

execution of a Data Governance Programexecution of a Data Governance Program..1.1. Organizations that successfully implement Data Governance Programs begin by Organizations that successfully implement Data Governance Programs begin by

defining a limited series of best practices before assessing their present practices defining a limited series of best practices before assessing their present practices in comparison to the best practices. in comparison to the best practices.

2.2. Once the best practices are defined, a gap-risk assessment can be completed to Once the best practices are defined, a gap-risk assessment can be completed to identify the differences (gap) between the defined Data Governance Best Practices identify the differences (gap) between the defined Data Governance Best Practices and the present practices. and the present practices.

3.3. This report should identify the risks (and potential risks) associated with the gap This report should identify the risks (and potential risks) associated with the gap prior to defining the action plan for delivering the Data Governance Program.prior to defining the action plan for delivering the Data Governance Program.


29



• Use Best Practices Analysis to Get Them to Tell You How to ProceedUse Best Practices Analysis to Get Them to Tell You How to Proceed– Sample 1: Sample 1: For Data Governance to be successful there will need to be a High Level For Data Governance to be successful there will need to be a High Level

of Senior Management Support and Understanding of the activities of the Data of Senior Management Support and Understanding of the activities of the Data Governance Team, the roles defined in the Data Governance Operating Model, and Governance Team, the roles defined in the Data Governance Operating Model, and specific examples of where Data Governance will add value.specific examples of where Data Governance will add value.

– Sample 2: Sample 2: Select staff must be committed to the definition, development, Select staff must be committed to the definition, development, execution and sustainability of the Data Governance Program on a continual basis. execution and sustainability of the Data Governance Program on a continual basis. This group will be known as the Data Governance Team and will be lead by This group will be known as the Data Governance Team and will be lead by Information Technology in partnership with Corporate Risk Governance with Information Technology in partnership with Corporate Risk Governance with subject matter expertise from Strategic Business Units and Shared Corporate subject matter expertise from Strategic Business Units and Shared Corporate Functions.Functions.


30



• Use Best Practices Analysis to Get Them to Tell You How to ProceedUse Best Practices Analysis to Get Them to Tell You How to Proceed– Sample 3: Sample 3: The Data Governance Principles will be applied consistently and The Data Governance Principles will be applied consistently and

continuously to data that is defined, produced and used for Enterprise Reporting. continuously to data that is defined, produced and used for Enterprise Reporting. The initial focus of the Data Governance Program will be directed at improving the The initial focus of the Data Governance Program will be directed at improving the quality, understandability and value of data that drives metrics for Reporting. quality, understandability and value of data that drives metrics for Reporting.

– Sample 4: Sample 4: The goals, scope, expectations, measurements of success and roles and The goals, scope, expectations, measurements of success and roles and responsibilities of the Data Governance Program will be well defined and responsibilities of the Data Governance Program will be well defined and communicated with Information Technology, Strategic Business Units and Shared communicated with Information Technology, Strategic Business Units and Shared Corporate Functions. Corporate Functions.


31



• Use Best Practices Analysis to Get Them to Tell You How to ProceedUse Best Practices Analysis to Get Them to Tell You How to Proceed

– Sample 5: Sample 5: Data Governance should be considered an ongoing program rather than Data Governance should be considered an ongoing program rather than a one-time project based on the fact that Governance is not a temporary activity.a one-time project based on the fact that Governance is not a temporary activity.

– Sample 6: Sample 6: Ideal individuals for the Data Steward role will have business expertise Ideal individuals for the Data Steward role will have business expertise with a specific domain of data and be empowered to make decisions and if with a specific domain of data and be empowered to make decisions and if needed, escalate issues to a strategic level for resolution.needed, escalate issues to a strategic level for resolution.


32



Governance End GameGovernance End GameWhat Does Governed Data Look LikeWhat Does Governed Data Look Like

DATA MUST HAVE CLEARLY DEFINED ACCOUNTABILITY

ENTERPRISEDATA GOVERNANCE

POLICY

AS PART OF THEINFORMATION GOVERNANCE

MANDATE

APPROVED BYSENIOR MANAGEMENT

DATA MUST BEMANAGED TO FOLLOW INTERNAL &EXTERNAL RULES / REGULATIONS

COMPLETENESS

ACCESSIBILITY

UNIQUENESS

TIMELINESS

CONSISTENCY

ACCURACY

POLICY PRINCIPLES DIMENSIONS

SP

EL

LE

D O

UT

BY

ME

AS

UR

ED

BY

RELEVANCE (NON OBSOLETE)

FROM “MY DATA”TO “OUR DATA”

AVOID RISK &COMPLIANCE ISSUES

RIGHT THE FIRST TIME,EVERY TIME

DATA IS“EVERYONE’S

RESPONSIBILITY”

DATA MUST BERECOGNIZED AS A VALUED &

STRATEGIC ENTERPRISE ASSET

DATA QUALITY MUST BE DEFINED& MANAGED CONSISTENTLY

ACROSS THE DATA LIFECYCLE

DATA GOVERNANCE POLICY DESCRIPTION

33



• Principle 1: Principle 1: From “MY” Data to “OUR” DataFrom “MY” Data to “OUR” Data– Data is a valuable strategic asset and shall be managed accordingly.Data is a valuable strategic asset and shall be managed accordingly.

• Principle 2: Principle 2: Data is Everyone’s ResponsibilityData is Everyone’s Responsibility– Data shall be shared, secured, and accessed as appropriate and allowed.Data shall be shared, secured, and accessed as appropriate and allowed.

• Principle 3: Principle 3: Avoid Risk and Compliance Issues Avoid Risk and Compliance Issues – Data shall have clearly defined accountability and shall be defined and managed Data shall have clearly defined accountability and shall be defined and managed

consistently according to relevant regulations.consistently according to relevant regulations.

• Principle 4: Principle 4: Right the First Time, Every TimeRight the First Time, Every Time– The quality of Data will be recorded, measured and reported to assure that data The quality of Data will be recorded, measured and reported to assure that data

will be trusted for business processes and decision making. will be trusted for business processes and decision making.


34



• What Governed Data Looks Like – Dimensions of Data GovernanceWhat Governed Data Looks Like – Dimensions of Data Governance– Accessible Accessible – Data accessibility will be defined and managed in accordance with – Data accessibility will be defined and managed in accordance with

appropriate Business Rules for access and local and Federal Rules and Regulations.appropriate Business Rules for access and local and Federal Rules and Regulations.– AccurateAccurate – Data should correctly reflect the real world object or an event being – Data should correctly reflect the real world object or an event being

described to enable informed decision-making at all levels.described to enable informed decision-making at all levels.– CompleteComplete – All expected, mandatory attributes of data should be provided. – All expected, mandatory attributes of data should be provided.– ConsistentConsistent – – Data across the organization Data across the organization should be in synch with each other.should be in synch with each other.– Relevant (Not-Obsolete) Relevant (Not-Obsolete) – Data managed as an asset must be relevant to the – Data managed as an asset must be relevant to the

business and retired when obsolete.business and retired when obsolete.– TimelyTimely – Data should be up-to-date, produced in a timely manner and appropriate – Data should be up-to-date, produced in a timely manner and appropriate

for the task at hand to support information needs.for the task at hand to support information needs.– UniqueUnique – Duplicate data should be avoided at all times. – Duplicate data should be avoided at all times.


35



• How Does Un-Governed Data Look Different From Governed DataHow Does Un-Governed Data Look Different From Governed Data1.1. Data is Inaccessible?Data is Inaccessible?2.2. Data is Not Inaccurate?Data is Not Inaccurate?3.3. Data is Incomplete?Data is Incomplete?4.4. Data is Inconsistent?Data is Inconsistent?5.5. Data is Irrelevant (Obsolete)?Data is Irrelevant (Obsolete)?6.6. Data is Not Timely?Data is Not Timely?7.7. Data is Not Unique?Data is Not Unique?


36



• What Actions Does It Take?What Actions Does It Take?

– DefineDefine Best PracticesBest Practices

– ConductConduct a a Best Practice Critical AnalysisBest Practice Critical Analysis

– InvestigateInvestigate the Need and Ability to Enforce a the Need and Ability to Enforce a Data Governance PolicyData Governance Policy

– DevelopDevelop a a Data Governance Action PlanData Governance Action Plan

Governance End GameGovernance End GameWhat Does It Take to Get ThereWhat Does It Take to Get There

37



• What Actions Does It Take?What Actions Does It Take?

– DefineDefine an an Operating Model of Roles & ResponsibilitiesOperating Model of Roles & Responsibilities

– DevelopDevelop and and DeployDeploy a a Communications PlanCommunications Plan

– FocusFocus and and DeliverDeliver on a on a Data Governance Documentation PlatformData Governance Documentation Platform

– UtilizeUtilize Available Available Tools & Templates of Data GovernanceTools & Templates of Data Governance

• Do Not Let Perfection Get in the Way of Good Enough.Do Not Let Perfection Get in the Way of Good Enough.

Governance End GameGovernance End GameWhat Does It Take to Get ThereWhat Does It Take to Get There

38



• Webinar SummaryWebinar Summary

– Definitions – Non-Invasive Data Governance™Definitions – Non-Invasive Data Governance™

– Managing Data as an AssetManaging Data as an Asset

– Data Versus InformationData Versus Information

– Governance End Game / Value AddedGovernance End Game / Value Added

– What Does Governed Data Look Like?What Does Governed Data Look Like?

– What Does It Take to Get There?What Does It Take to Get There?

• Questions & AnswersQuestions & Answers

Real-World Data GovernanceReal-World Data GovernanceWrap UpWrap Up

39



• Real-World Data Governance – 2013 Monthly Webinar SeriesReal-World Data Governance – 2013 Monthly Webinar Series March 21: Governing Data through MetadataMarch 21: Governing Data through Metadata April 18: What is a Data Steward and What Do They Do?April 18: What is a Data Steward and What Do They Do?

Rescheduled from January 2013Rescheduled from January 2013 May 16: Comparing World Class Solutions in Data GovernanceMay 16: Comparing World Class Solutions in Data Governance

Panel of Practitioners Q&APanel of Practitioners Q&A June 19: The Data Governance Road Show from DGIQJune 19: The Data Governance Road Show from DGIQ

Interviews with Thought Leaders – Special Wed Date Live from ConferenceInterviews with Thought Leaders – Special Wed Date Live from Conference July 18: Governance for Master DataJuly 18: Governance for Master Data

• Visit Visit Dataversity.NetDataversity.Net for More Information for More Information

Real-World Data GovernanceReal-World Data GovernanceComing UpComing Up

40



• Robert S. SeinerRobert S. SeinerKIK Consulting & Educational Services – KIKconsulting.comKIK Consulting & Educational Services – KIKconsulting.comThe Data Administration Newsletter – TDAN.comThe Data Administration Newsletter – TDAN.comPost Office Box 112571, Upper St. Clair, Pennsylvania 15241Post Office Box 112571, Upper St. Clair, Pennsylvania 15241412.220.9643, 412.220.9644 (Fax)412.220.9643, 412.220.9644 (Fax)[email protected]@[email protected]@tdan.com

Real-World Data GovernanceReal-World Data GovernanceContact InformationContact Information