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. Seiner
KIK Consulting & Educational Services, LLC – KIKconsulting.com
The Data Administration Newsletter, LLC – TDAN.com
Real-World Data Governance
Selecting the Right Data Governance Approach
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
November 20, 2014 – 2:00 p.m. EST

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Twitter at #RWDG
• 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
Upcoming Webinars

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Twitter at #RWDG
• 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
What’s New?

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Twitter at #RWDG
• 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 the
approaches are stricter and more by the book – some may consider them to be
about Command and Control. There are other approaches that focus more on
formalizing accountability and that take a less invasive approach.
• Join Bob Seiner for this installment of the Real-World Data Governance
webinar series as he dissects several approaches to Data Governance and
provides insight as to what may be the best approach for your organization.
Abstract

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Twitter at #RWDG
• 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
Abstract

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Twitter at #RWDG
Definitions
• 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 Accountability
Over 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 ensure
proper management of information assets.
the execution and enforcement of authority over the
protection of data and data-related assets.

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Twitter at #RWDG
Definitions
• Non-Invasive Data Governance™
– The practice of:
• applying formal accountability & behavior
• through non-invasive roles & responsibilities
• to existing and / or new processes
• to assure that the definition, production & usage of data
• assures regulatory compliance, security, privacy, protection & quality.
– Non-Invasive describes how governance is applied to assure
non-threatening management of valuable data assets.
– The goal is to be
» Transparent
» Supportive
» Collaborative.

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• Primary Categories of Data Governance Approaches
– Philosophy Approaches
– Directional Approaches
– Organizational Approaches
Approaches 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.
Differences in Data Governance Approaches

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Twitter at #RWDG
• 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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Twitter at #RWDG
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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Twitter at #RWDG
• 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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Twitter at #RWDG
• 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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Twitter at #RWDG
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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Twitter at #RWDG
• 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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Twitter at #RWDG
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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Twitter at #RWDG
• 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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Twitter at #RWDG
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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Twitter at #RWDG
• 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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Twitter at #RWDG
• 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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Twitter at #RWDG
• Program Management
– Program Residence
• Business
• Information Technology
• Shared Services
– Roles for everybody!
– Alignment and Partnership
– Program Residence determines the approach

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Matching 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
Blending 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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Twitter at #RWDG
• 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.
Setting Expectations Aligned with Approach

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Twitter at #RWDG
• 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.
Setting Expectations Aligned with Approach

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Evaluating 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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Twitter at #RWDG
• 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.
Summary

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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
Upcoming Webinars

52
Twitter at #RWDG
Contact
Information
• 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)
rseiner@kikconsulting.com
rseiner@tdan.com

Real-World Data Governance: Selecting the Right Data Governance Approach

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