real-world data governance: selecting the right data governance approach

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Copyright © 2014 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

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

Twitter at #RWDG

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

The Data Administration Newsletter, LLC – TDAN.com

Real-World Data GovernanceSelecting the Right Data Governance Approach

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

November 20, 2014 – 2:00 p.m. EST

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• Real-World Data Governance – Monthly Webinar Series – Third Thursday @ 2pET

– December 18, 2014 – Big Data Governance: What it is and why it is necessary

– Register On-Line at DATAVERSITY.net

Real-World Data GovernanceUpcoming Webinars

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• Non-Invasive Data Governance:

The Path of Least Resistance and Greatest Success– ISBN 9781935504856 / Technics Publishing – September 1

• KIKConsulting.com

New Home of Non-Invasive Data Governance™– Jeremy Seiner (Nephew) Designer – Live June 1

• Data Governance Winter Conference– DATAVERSITY & DEBtech International– Ft. Lauderdale, Florida – December 8 & 9

Real-World Data GovernanceWhat’s New?

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• Today’s RWDG webinar is sponsored by

CA Technologies, makers of ERwin.

• There are numerous approaches to delivering a Data Governance Program.Some people will say that no two programs look the same. Some of theapproaches are stricter and more by the book – some may consider them to beabout Command and Control. There are other approaches that focus more onformalizing accountability and that take a less invasive approach.

• Join Bob Seiner for this installment of the Real-World Data Governancewebinar series as he dissects several approaches to Data Governance andprovides insight as to what may be the best approach for your organization.

Selecting the Right Data Governance ApproachAbstract

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• In this session we will discuss:

– Differences in Data Governance Approaches

– How to Match Your Data Governance Approach to Your Culture

– How to Blend Pieces of Different Approaches to Meet Your Objectives

– How to Set Expectations Aligned with Your Approach

– How to Evaluate if the Approach has been Successful

Selecting the Right Data Governance ApproachAbstract

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Selecting the Right Data Governance ApproachDefinitions

• Data Governance

– Data Governance is the Execution and Enforcement of Authority Over the Management of Data and Data-Related Resources.Robert S. Seiner

• Data Stewardship

– Data Stewardship is the Formalization of AccountabilityOver the Management of Data and Data-Related Resources.Robert S. Seiner

Recent Client Definitions of Data Governance

the use of authority, discipline, and behavior change to ensureproper management of information assets.

the execution and enforcement of authority over the protection of data and data-related assets.

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Selecting the Right Data Governance ApproachDefinitions

• 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 assurenon-threatening management of valuable data assets.

– The goal is to be

» Transparent

» Supportive

» Collaborative.

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• Primary Categories of Data Governance Approaches

– Philosophy Approaches

– Directional Approaches

– Organizational Approaches

Selecting the Right Data Governance ApproachApproaches to Data Governance

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• Philosophy Approaches

– Non-Invasive Data Governance™ ‒ Formalize Accountability

– Partnership Model Data Governance – Shared Services

– Lean / Agile Data Governance – Limited Interference

– Command and Control Data Governance – The Stick


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• The Path of Least Resistance and Greatest Success

• Identify / Recognize Stewards

• Everybody is a Data Steward

• Best Practices – Practical and Doable / At Risk if not achieved

• Apply Governance to Processes

• Communications & Awareness the Key


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• Focused on Alignment of Business and Technology Partners

• Operated out of Shared Services

• Leverage existing knowledge / accountability wherever possible

• Requires Strong Leadership

• Requires Time Allocation


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• Factions at odds with each other

• Appropriate Requirements

• Appropriate Documentation

• Applicable to Sprints and Scrums and Scraps and Squawks and …

• Agile Data Governance (RWDG 2014 Webinar w/ Scott Ambler)

• Bridging the Gap (presentation at 2014 Data Governance Winter Conference 2014 & Book #2)


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• You will do this

• You will make time

• Strict application to process

• Tied to performance evaluation

• Opting In-and-Out


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• Directional Approaches

– Top Down – Management Directed Data Governance

– Middle Out – Subject Matter Experts Lead Data Governance

– Bottom Up – Grass Roots Data Governance


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• Data Governance Best Practice #1 (RWDG 2014 Webinar)

• Senior Management Support, Sponsorship and Understanding

• Executive Level Sponsorship

• Strategic Level Representation

• Senior Management must be sold to pursue this


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• Focus on Tactical Responsibilities

• Data Domain Stewards / Subject Matter Experts / Enterprise Data Stewards

• Demonstrate Impact and Value

• Focused on Working Groups

• Stealth Data Governance


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• Identify and recognize Operational Data Stewards – first

• Identify Subject Matter Experts – first

• Apply Data Governance for Specific Purpose – first

• Demonstrate Impact and Value – first

• Prove Governance Worth


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• Organizational Approaches

– Enterprise Data Governance – Organization-Wide

– Business Unit Data Governance – Internal Group

– Information Technology Directed Data Governance – IT-Driven


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• EDG Thought to be “The Answer” – So 2010

• Define “Enterprise”

• Largest of the Efforts / Most Support Needed

• Top Down will play a Role

• Considerations Steer Away from Bottom Up


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• Operational or Functional Area Focus / Enterprise in Mind?

• Piece (of a Piece) of the Pie

• Replicate Success

• Don’t Let Perfection Get in the Way of Good Enough

• Learn from Lessons Learned


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– Information Technology Directed Data Governance

• IT-Driven but not for IT

• Some say failure is inevitable – Not true!

• Alignment & Partnership

• Leverage Business & IT Knowledge and Accountability

• Data & System Subject Matter Experts


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• As You Know … As You Can See in the Footer … As Noted in the Book Title …

• I am the

– Advocate

– Agent

– Promoter

– Campaigner

– Activist

– Crusader

– Champion

of

The Non-Invasive Data Governance™ Approach.

Let’s take a quick look!


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With Non-Invasive Data Governance™: With other approaches to Governance:

Data Governance is communicated as

something that is already taking place

albeit in an informal, inefficient, and

often ineffective manner. Non-Invasive

Data Governance™ focuses on

formalizing existing levels of

accountability, addressing lapses in

formal accountability and typically

costs the time that is put into the effort.

Data Governance is communicated as

being expensive, complex, time

consuming and over-and-above the

existing work culture of the

organization.

Selecting the Right Data Governance ApproachDifferences in Data Governance Approaches

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• Communications Plays an Important Role

– Not only what we communicate

– But how we communicate it

– Setting Appropriate Expectations – Having a Plan


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Non-Invasive Data Governance™ is

viewed as being designed to fit the

culture of the organization and to take

advantage of exiting levels of

governance as to not be viewed as

encroachment.

Data Governance is viewed as a

discipline that will add unnecessary

rigor and bureaucracy to business

processes thus slowing delivery cycles

and making data more difficult to

access and use.


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• Fitting the Culture

– Good ‘Ole Boy Network

– Ownership by Self-Appointment

– Data Governance is not optional

– Agile Influence

– Should the culture dictate the approach?


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Non-Invasive Data Governance™

expectations are set by assisting

business areas to recognize and

articulate what they cannot do because

the data of the organization will not

support those activities.

Data Governance expectations are set

by the team of individuals responsible

for the design and implementation of

the data governance program.


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• Articulate Value

– Business Value

– Acceptability Value

– Pro-Active Value

– Reactive Value

– What can’t we do because the data is not there to support it?

– Should articulating value match the approach?


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Individuals are identified and

recognized into roles associated with

their existing relationship to the data –

as data definers, producers, users,

subject matter experts and decision

makers, as a way of stressing their

importance and impact on data across

the organization.

Individuals are assigned new roles as

part of their involvement in the data

governance program.


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• Determining Data Stewards

– Roles & Responsibilities Back-Bone of the Approach

– Seiner’s Rules of Becoming a Data Steward (2014 RWDG webinar)

– Identify / Recognize vs. Assign Stewards

– Can you do both?

– Should roles match the approach you select?


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Individuals’ job titles do not change

and there is acknowledgement that the

vast majority of their responsibilities

will not change.

Individuals are given the title of Data

Steward and their job responsibilities

are adjusted accordingly.


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• Titles Versus Roles

– Titles are pretty invasive.

– Roles are associations to data. NIDG is not a “do nothing” approach.

– How do we get people to accept accountability without titles?

– How will we identify accountability?

– How accountability is applied is a core tenet of the approach.


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More than one data steward (formally

accountable person) is associated with

each type of data. The organization

recognizes that there are numerous

people with this association to data (i.e.

multiple users of particular data that all

must be held formally accountable for

how they use the data).

Individuals are assigned as THE data

steward for specific subject areas of

data (i.e. a customer data steward, a

product data steward, finance data

steward).


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• Multiple Stewards

– Seiner’s Rules for Becoming a Data Steward

– The Data Steward – What does that mean?

– Different types of Data Stewards

– Multiple definitions for data are an indication of multiple stewards


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Organizations apply Non-Invasive Data

Governance™ principles to existing

work flows and processes by

formalizing discipline, accountability

and involvement to these processes.

Organizations refer to processes as

“Data Governance processes” giving

the impression that the processes are

being carried out because of or as a

result of the Data Governance program.


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• Applying Data Governance

– Not “Data Governance Process”

– Pro-Active Data Governance

– Reactive Data Governance

– Existing Governance Activities

• Security

• Protection

• Quality

• Integration


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Non-Invasive Data Governance™ can be

managed out of a business unit or

Information Technology unit as both

the business areas and IT hold specific

knowledge and formal accountability

relative to governing data as a valued

enterprise effort.

Data Governance must reside in a

business unit and be directed as a

business effort with limited

involvement from Information

Technology.


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• Program Management

– Program Residence

• Business

• Information Technology

• Shared Services

– Roles for everybody!

– Alignment and Partnership

– Program Residence determines the approach


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Selecting the Right Data Governance ApproachMatching the Approach to Your Culture

• What is Your Culture?

• What approach would be …

– Most-Likely Accepted

– Most Practical

– Understood by the organization

– Cost Effective

– Do-Able – Likelihood of Success

• Use this information when reviewing the approaches to Data Governance




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• Revisiting the Primary Categories of Approaches




Selecting the Right Data Governance ApproachBlending Different Approaches

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• Revisiting the Philosophy Approaches – Can these be blended?






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• Revisiting the Directional Approaches – Can these be blended?





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• Revisiting the Organizational Approaches – Can these be blended?



– Information Technology Directed Data Governance – IT-Driven


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• Five Things to Tell 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 Around Data

• 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.

Selecting the Right Data Governance ApproachSetting Expectations Aligned with Approach

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• Four Things NOT to Tell Management

– Do NOT Sell Data Governance as being a Huge Challenge.

– Emphasize that Data Governance is NOT a Technical Solution.

– Emphasize again that People Behavior is Governed, NOT Data.

– Emphasize that Data Governance is an Evolution, NOT a Revolution.

Selecting the Right Data Governance ApproachSetting Expectations Aligned with Approach

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Selecting the Right Data Governance ApproachEvaluating if Approach is Successful

• Measuring Value of the Approach

– Business Value

• Does the business value reflect the approach you take?


• Does the acceptability value reflect the approach you take?

– Metrics and Measurements

• How do we define metrics and measurement that align with the approach?

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– Business Value

• Productivity Gain

• Value from Enabling Data – Things you couldn’t do before that you can do now

• Cost Reduction / Operational Efficiency

• Issues Resolved / Value of Issues Resolved

• Issues Prevented / Risks Averted

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• Stewards Identified

• Business Units Engaged

• Staff Educated / Refreshed

• KPI Data Governed

• Policies / SLA Confirmed

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– Metrics and Measurements

• Are we measuring the appropriate things?

• To whom do the measures matter?

• Are metrics aligned with the approach?

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• In this session we discussed:

– Differences in Data Governance Approaches

– How to Match Your Data Governance Approach to Your Culture

– How to Blend Pieces of Different Approaches to Meet Your Objectives

– How to Set Expectations Aligned with Your Approach

– How to Evaluate if the Approach has been Successful

– Thank you again to our Sponsor – CA Technologies, makers of ERwin.

Selecting the Right Data Governance ApproachSummary

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Twitter at #RWDG

• Real-World Data Governance – Monthly Webinar Series – Third Thursday @ 2pm

– December 18, 2014 – Big Data Governance: What it is and why it is necessary

– Register On-Line at DATAVERSITY.net

Real-World Data GovernanceUpcoming Webinars

52



Twitter at #RWDG

ContactInformation

• Robert S. Seiner

KIK Consulting & Educational Services, LLC – KIKconsulting.com

The Data Administration Newsletter, LLC – TDAN.com

Post Office Box 112571, Upper St. Clair, Pennsylvania 15241

412.220.9643, 412.220.9644 (Fax)

[email protected]

[email protected]

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