real-world data governance webinar: data governance framework components

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

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

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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 GovernanceData Governance Framework Components

Monthly Webinar Series Hosted by DATAVERSITYRobert S. Seiner – KIK Consulting / TDAN.com

April 16, 2015 – 2:00 p.m. EST


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



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• Non-Invasive Data Governance:

The Path of Least Resistance and Greatest SuccessISBN 9781935504856 / Technics Publishing – September 2014

• KIKConsulting.com

Home of Non-Invasive Data Governance™

• DATAVERSITY Events

Data Governance & Information Quality (DGIQ) Conference 2015Getting Started with Data Governance (Tutorial 6/8)

Advanced Metadata Requirements for Data Governance (Tutorial 6/8)

Applying Data Governance to Agile Projects (Session 6/9)

Real-World Data GovernanceCurrent Events





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• Real-World Data Governance – Monthly Webinar Series

– May 21, 2015 – Build Your Own Data Governance Tools

– June 18, 2015 – Everybody is a Data Steward – How to Deal with it

– Third Thursday of Every Month at 2pm EST

– Register On-Line at DATAVERSITY.net or KIKConsulting.com

Real-World Data GovernanceUpcoming Webinars





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• There are several basic components that go into delivering a successful andsustainable data governance program. Many of these framework items canbe developed using tools you already own and without going to greatexpense. Organizations swear by the items that will be discussed in thiswebinar.

• Bob will discuss these core components:

– Gaining Leadership’s backing and understanding

1. Best Practice Analysis leading to Recommended Actions

2. Operating Model of Roles & Responsibilities

3. Communications Plan to improve awareness

4. Action Plan / Roadmap to success

Data Governance Framework ComponentsAbstract





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• Data Governance is the execution and enforcement of authority over themanagement of data and data-related assets.

• Data Stewardship is the formalization of accountability for the management ofdata and data-related assets.

Data Governance Framework ComponentsDefinitions





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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 assurenon-threatening management of valuable data assets.

– The goal is to be

» Transparent

» Supportive

» Collaborative.

Data Governance Framework ComponentsDefinitions





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Data Governance Framework ComponentsThe Components

• Data Governance Framework Components Consists of:

– Gaining Leadership Backing

1. Best Practice


3. Communications Plan

4. Action Plan





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• Messages for Management

– We ARE already governing data (but we are doing it informally).

– We CAN formalize how we govern data by putting structure around what we are presently doing.

– We CAN Improve:

• How We Manage Data Risk & Secure Data

• Data Quality & Provide Quality Assurance

• Coordination, Cooperation, Communications Around Data

– We DO NOT Have to Spend A Lot of Money.

In fact … Data Governance only costs the time we put into it.

– We NEED structure. We should consider a Non-Invasive approach.

Data Governance Framework ComponentsGaining Leadership Backing





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• Best Practice Overview & Process

– Data Governance Best Practices are defined as the basis and guideline for theexecution of a Data Governance Program.

1. Organizations that successfully implement Data Governance Programs begin bydefining a limited series of best practices before assessing their present practicesin comparison to the best practices.

2. Once the best practices are defined, a gap-risk assessment can be completed toidentify the differences (gap) between the defined Data Governance Best Practicesand the present practices.

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

Data Governance Framework ComponentsBest Practice

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• Criteria for Identifying Best Practices

– Is the Statement Practical, Do-able and will it Add Value?

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

– Is the Program At Risk if the practice is not achieved?

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

• “Best Practice” versus “Practice”

• Worded in Present tense.






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• Sample Best Practices:

– There is a high level of Senior Management support, sponsorship, andunderstanding of the processes, definition and activities of the Data Governanceprogram.

– Resources are dedicated to the definition, development, execution andsustainability of the Data Governance program.

– Data Governance Principles and the concept of Data Stewardship are the backboneof making the action and assurance of managing data consistent and habitual.

– Data Governance is applied consistently and continuously to any data that isdefined, produced, and used .

– The goals, focus areas, roles & responsibilities, and measurements of success of theData Governance program are clearly defined, approved by Senior Leadership, andcommunicated throughout the organization.






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Data Governance Framework ComponentsRoles & Responsibilities

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• Responsibilities of the Operational Data Stewards:

– Defining the data that will be used by their part of the organization, how that data will be used, and how that data will be managed. – Data Definers

– Producing, creating, updating, deleting, retiring, archiving the data that will be managed. – Data Producers

– Using data to perform their job and processes. – Data Users

– Integrity of data usage. – Data Users

Data Governance Framework ComponentsRole & Responsibilities: Operational Level





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• Responsibilities of the Operational Data Stewards:

– Doing what is expected of them in their job while being held formally accountablefor how they do it – when it comes to data.

– Begs the question becomes – What does it mean to be held formally accountable?






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• Rules for Becoming a Data Steward

1. A Data Steward can be absolutely anybody.

2. Being a Data Steward describes a relationship to data and is not a position.

3. A Data Steward is not hired to be a Data Steward.

4. A Data Steward does not need to have the title of “Data Steward”.

5. A Data Steward does not have to be told how to do their job.

6. Public or Industry Data Steward Certification is a load of bunk.

7. There is more than one Data Steward for each type of Data.

8. Data Steward training should be focused on “Formalizing Accountability”.






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• Rules for Becoming a Data Steward

You may not agree with all of them.

You may not agree with any of them.

Is this basically a “Nobody” approach?

… Or an“Everybody”

approach?






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• Responsibilities of the Data Domain Stewards:

– Responsible for ‘enterprise’ management of a domain of data.

– Identified by position (or person) as part of a single business unit or function.

– When acting in role of domain steward, affiliation to business unit secondary.

– Involved/facilitator in cross business unit resolution of data definition, productionand usage issues.

– May or not be the authority (decision maker).

– Depends on position in the organization.

Data Governance Framework ComponentsRole & Responsibilities: Tactical Level





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• Responsibilities of the Data Domain Stewards:

– Responsible for escalating well-documented issues to the strategic level with orwithout recommendation.

– Responsible for documenting data classification rules, compliance rules, businessrules for data in their domain (may delegate this).

– Responsible for making certain the rules are communicated to all stakeholders ofdata in that domain (may delegate).

– Responsible for participating in tactical groups (with other domain stewards,steward coordinators, and operational stewards) for finite periods of time toaddress specific issues and projects related to their domain and business unit.






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• Responsibilities of the Data Steward Coordinators:

– Identify the operational stewards of data per domain for their business unit. Thistypically requires research and inventory time for the Data Steward Coordinator.

– Work alongside the Data Domain Stewards and operational data stewards onspecific Tactical Data Steward teams that are set up for the duration of issueresolution or project focused task.

– The Data Steward Coordinator typically has no decision making authority but playsa pivotal role in data governance and data stewardship success.






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• The Data Governance Council Consists of Strategic Representatives of Business Divisions & Information Technology.

• Why do we need a Data Governance Council?

– Coordination of Data Governance Activities Across Divisions

– Cooperation Assurance Across Divisions

– Communications Assurance Across Divisions

– Comprehensive Risk Management Across Divisions

– Consistency in Ability to Apply Discipline Across Divisions

Data Governance Framework ComponentsRole & Responsibilities: Strategic Level





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• What does a Data Governance Council Do?

– Make decisions at a strategic level in a timely manner given the appropriateknowledge to make that decision.

– Meet regularly (or send alternate), read minutes to stay informed of DataGovernance Program activities.

– Identify and approve of pivotal data governance roles including cross-enterprisedomain stewards and coordinators.

– Advise the Data Governance Council Owner in applying data governance to RiskManagement, Compliance, Business Unit-specific governance interests.






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• How much of a time commitment is there for Council Members:

– Monthly Data Governance Council Meetings

Council Consists of Representatives from All Divisions

Meetings Scheduled by Council Owner

Meeting Agenda and Facilitation by DGPT – Minutes, Action Items, …

Meeting Time 60 to 90 minutes a month






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– Availability to Read / Review / Comment / Recommend / Approve …

Data Policy & Mandates

Data Governance Roles & Responsibilities

Pro-Active and Reactive Data Governance Activities

Time needed varies 60 to 90 minutes a month






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– Availability to Resolve Data Issues Escalated to the Strategic Level

~5-10% of Data Issues Get Escalated to this Level

Higher Percentage Indicates Deficiency in Tactical Level

Issues Not Resolved at Council Meetings

Time commitment varies according to number of escalated issues






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• Responsibilities of the Data Governance Program Team:

– Oversee Enterprise Data Governance Program Development

– Architect Solution & Framework

– Administer the Program including facilitate the Data Governance Council meetings

– Provide the Agenda for the Data Governance Council Meetings to the Approved byCouncil Owner Pre-Meeting

– Facilitate Data Governance Organization, Tactical & Operational Stewards, theData Governance Council Involvement

Data Governance Framework ComponentsRole & Responsibilities: Support Level





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• Responsibilities of the Data Governance Program Team:

– Develop & Deliver Data Governance Program Educational, Awareness & MentoringMaterials

– Provide Quality Assurance – Oversight, Monitor, Report Results to GovernanceCouncil

– Establish, Maintain, and Periodically Review and Recommend Changes to DataGovernance Policies, Standards, Guidelines, and Procedures

– Assist in Defining Data Quality Metrics for Periodic Release

– Support Data Quality Issue Analysis & Remediation for “Strategic” Data

– Conduct Audits to Ensure that Policies, Procedures and Metrics are in Place forMaintaining/Improving the Program






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• Responsibilities of the Data Governance Partners (IT, PMO, R&C …):

– Focus on Consistent Protection/Classification of Data by Data Classification(Confidential, Public, Internal Use, …)

– Responsible for Project Management to Meet Data Classification Requirements

– Secure Infrastructure On Behalf of the Business Units that Own or HaveResponsibility for the Data

– Assure that sensitive data, regardless of format, is protected at all times by onlyusing approved equipment, networks, and other controls

– Responsible for championing the integration of data governance within thestandard project methodology.






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• Responsibilities of the Information Technology (DSMEs & SSMEs):

– Ensure that standard project methodology is followed and that policies, proceduresand metrics are in place for maintaining/improving data quality and the creation,capture and maintenance of metadata.

– Ensure that all “strategic” data is modeled, named, and defined consistently.

– Ensure that projects source and utilize data as much as is feasible from thedesignated system of record.

– Provide technical support for ensuring data quality.

– Provide technical support for data governance and data cleansing efforts whererequired.

– Ensure that metadata critical to Data Governance is included in the metadataresource and is accessible






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• The improvement of communications around managing data and informationas a valued enterprise asset is a primary focus of many Data Governanceprograms.

• The Three Os of Data Governance Communications:

– Orientation Communications

– Onboarding Communications

– Ongoing Communications

Data Governance Framework ComponentsCommunication Planning

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Data Governance Framework ComponentsCommunication Planning





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• Proactive – Build DG Into What the Data Stewards Do

– Governance Activity Matrix

– Governance Processes RACI Chart

– System Development Life Cycle (SDLC) / Project Planning

– Do Not Call Them “Data Governance Processes”!

– Two Pronged Approach to Action Plan

• Further Develop the Program

• Do Something!

Data Governance Framework ComponentsAction Planning

Opportunity

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DATA DEFINERDATA

PRODUCER

DATA STEWARD

COORDINATOR

DATA GOVERNANCE ACTIVITY MATRIX©

MASTER DATA

DEVELOPMENT

LIFE CYCLE

(MDDLC)

INFORMATION

GATHERING

(DOMAIN, SYSTEM,

STEWARDS)

OPERATIONAL DATA STEWARDS

DATA USER

DATA DOMAIN

STEWARD

(or designee)

DATA DOMAIN / LOB/FUNCTIONAL AREA

ASSESSMENT &

REQUIREMENTS

PLANNING &

ANALYSIS

SOLUTION DESIGN

SOLUTION

DEVELOPMENT

SOLUTION TESTING

SOLUTION

IMPLEMENTATION

SOLUTION

MONITORING &

MAINTENANCE

Activity initiated re: this domain,

Data Domain Steward is involved

in identifying and recording info

related Domains, Systems,

Stewards per issue or task.

Activity initiated re: this domain,

Steward Coordinator is involved in

identifying Operational Stewards

in this LOB/FA that should

participate in this work flow.

Assure appropriate business

meta-data is recorded.

Propose alternatives

for data definition

solution that best fits

with defined

requirements.

Provide input to the

development of the

data production

solution.

Provide definition

requirements &

gathering document.

Define data needed to

operate business &

report results.

Test data solution

from a definition

perspective. Assure

that appropriate

business meta-data is

recorded.

Produce user

requirements. Use

data needed to

operate business &

report results.

Coordinate activities of

Operational Stewards including

project timelines, status reporting,

tactical decision making. Assure

appropriate business meta-data is

recorded.

Provide data

definition guidance to

build the appropriate

solution.

Provide data usage

guidance to build the

appropriate solution.

Coordinate tasks associated

conducting planning and analysis

steps.


for data production

that best fits with the

data definition

solution and defined

requirements.


for data usage

solution that best fits

with defined

requirements.

Coordinate tasks associated

conducting planning and analysis

steps. Accept or Resolve solution

from the Steward Coordinator.

Coordinate activities of all

individuals related to development

work including timelines, status,

tactical decision making.

SYSTEM SMEs

IT

DATA SMEs

Test data solution

from a production

perspective. Assure

that appropriate


recorded.

Test data solution

from a usage

perspective. Assure

that appropriate


recorded.

Coordinate activities of the

Operational Stewards related to

testing work including timelines,

status, tactical decision making.



solution implementation including

timelines, status, tactical decision

making.



solution monitoring &

maintenance including timelines,

status, tactical decision making.

Perform EIS system testing.

Assure that appropriate technical

meta-data is recorded.

Perform EIS data testing. Assure

that appropriate technical meta-

data is recorded.

Coordinate and manage all

technical aspects of data solution

development. Assure that

appropriate technical meta-data is

recorded.


technical aspects of system

solution development. Assure

that appropriate technical meta-

data is recorded.

Coordinate system design with

Data Domain Stewards and

Steward Coordinators.

Coordinate data design with Data

Domain Stewards and Steward

Coordinators.



planning and analysis with Data


Coordinators.


technical aspects of data planning

and analysis with Data Domain

Stewards and Steward

Coordinators.



assessment & requirements

gathering with Data Domain


Coordinators.


technical aspects of data

assessment & requirements

gathering with Data Domain


Coordinators.


technical aspects of data

information gathering with Data


Coordinators. Assure appropriate

technical meta-data is recorded.



information gathering with Data


Coordinators. Assure appropriate

technical meta-data is recorded.

Participate in data

definition information

gathering as needed.

Participate in data

production

information gathering

as needed.

Participate in data

usage information

gathering as needed.



solution implementation.



solution monitoring &

maintenance.



implementation.



monitoring & maintenance.

Coordinate business tasks

associated with solution testing

steps.


associated with solution

implementation.


associated with solution

monitoring & maintenance.

As part of daily job,

identify operation

data issues pertaining

to their domain of

data.


identify operation


to their domain of

data.


identify operation


to their domain of

data.






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• Reactive – Follow a Data Quality Methodology

– Qualify & Prioritize Data Issue

– Identify Affected Data Domain

– Identify Affected Data Stewards

– Conduct Data Systems & Data Resource Discovery

– Conduct Root Cause Analysis

– Conduct Cost-Benefit Analysis

– Analyze & Recommend Resolution

– Gain Approval, Funding, Resources

– Resolve Data Issue






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• Data Governance Framework Components Consists of:

– Gaining Leadership’s backing and understanding

1. Best Practice


3. Communications Plan

4. Action Plan

Data Governance Framework ComponentsSummary





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• Real-World Data Governance – Monthly Webinar Series – 2pm EST

– May 21, 2015 – Build Your Own Data Governance Tools

– June 18, 2015 – Everybody is a Data Steward – How to Deal with it

– Third Thursday of Every Month at 2pm EST

– Register On-Line at DATAVERSITY.net or KIKConsulting.com

Real-World Data GovernanceUpcoming Webinars





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#RWDG @RSeiner

• 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)

[email protected]

[email protected]

@RSeiner

#RWDG

Real-World Data GovernanceContact Information

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