successful data governance models and frameworks

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Copyright © 2016 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

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

Real World Data GovernanceSuccessful Data Governance Models and Frameworks

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

September 15, 2016 – 2:00 p.m. EST

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

The Data Administration Newsletter, LLC - TDAN.com

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• Real-World Data Governance – Monthly Webinar Series– October 20, 2016 – Achieving Data Quality through Data Governance– November 17, 2016 – Corporate Data Governance – The CDO is the Data

Governance Chief – with Special Guest Anthony Algmin– Monthly on the Third Thursday at 2 pm EST– Register On-Line at DATAVERSITY.net or TDAN.com or KIKConsulting.com

Data Governance Models and Frameworks2016 Upcoming Webinars

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• Non-Invasive Data Governance:The Path of Least Resistance and Greatest SuccessISBN 9781935504856 / Technics Publishing / Amazon.com

• KIKConsulting.comHome of Non-Invasive Data Governance™

• DATAVERSITY Events (with DEBTech International)

Data Governance Financial Services ConferenceNovember 14-18 – Delray Beach, FloridaTutorial – Three-Tiers of Building and Governing a Business GlossarySession – Data Governance in the Internet of Things Age

Real-World Data GovernanceIn the News

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• The Data Administration Newsletter (TDAN.com)– Monthly Publication– September 2016 Issue Available– Articles, Columns, Features, Blogs– Published by Bob Seiner– Produced by DATAVERSITY– Subscribe On-Line for Updates

Real-World Data GovernanceIn the News

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• There are three models that any organization can follow when implementinga Data Governance program.

• Programs can be developed to “command-and-control” the data.

• Programs can be developed to focus on a specific discipline such asprotecting the data.

• And programs can focus on formalizing accountability for data across theboard.

• Picking the model for your organization is the trick.

Data Governance Models and FrameworksAbstract

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• In this webinar Bob will talk about:– The three Data Governance models and frameworks– Comparison of the models– The up-side and downside of each model– How to select the appropriate model for your organization– Detailing the tricks while providing the treats

Data Governance Models and FrameworksAbstract

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• Data Governance is the execution and enforcement of authority …

• Data Stewardship is the formalization of accountability …

• 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, quality.

– 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 Models and FrameworksDefinitions

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• Command and Control Model and Framework• Traditional Model and Framework• Non-Invasive Model and Framework

Data Governance Models and FrameworksThe Three Data Governance Models and Frameworks

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• Command and Control Model and Framework– Assign people as Data Stewards.– You will do this and you will make time.– Immediately feels over-and-above existing responsibility.– Feels invasive to what people already do.– New activities due to Data Governance initiative.


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• Traditional Model and Framework– Identify people as Data Stewards.– Limited number of people that are the critical Data Stewards.– Often referred to as “Data Owners’.– Identified by Subject Matter or Data Type.– Often also considered over-and-above existing function.


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• Non-Invasive Model and Framework– Recognize people as Data Stewards.– Based on formalizing a person’s relationship to the data.– People define, produce and use data as part of their job.– Hold people accountable for how they define, produce and use data.– Build Data Governance into what people do.

– Everybody is a Data Steward.


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• Comparison of Data Governance Components Across Models:– Roles– Process– Communications– Metrics– Tools

Data Governance Models and FrameworksComparison of the Models

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GOVERNANCE FRAMEWORK COMPARISON

IdentifiedRoles

SingleProcess

ROLES

PROCESS

COMMUNICATIONS

METRICS

TOOLS

You ShouldDo This

MeasureData

LeverageExisting

RecognizedFormalized

Roles

Applied toProcess

You AlreadyDo This

MeasureAdvancement

Leverage Build and ApplyPurchased

AssignedRoles

NewProcess

You WillDo This

MeasureValue

PurchaseFirst

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• Compare Roles– Command and Control – Assign People into Roles– Traditional – Identify People into Roles– Non-Invasive – Recognize People into Roles


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• Compare Process– Command and Control – New Process– Traditional – Single Process– Non-Invasive – Applied to Process


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• Compare Communications– Command and Control – You Will Do This– Traditional – You Should Do This– Non-Invasive – You Already Do This


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• Compare Metrics– Command and Control – Measure ROI– Traditional – Measure Data– Non-Invasive – Measure Value


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• Compare Tools– Command and Control – Purchased Focus– Traditional – Leverage Existing– Non-Invasive – Leverage Build and Apply Purchased


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• Command and Control– Up-side

• People are forced to follow the rules.• Very structured and rigid.• Easier to pass from administration to administration.

– Downside• People are fearful and rebellious.• There will be ownership struggles.• People will view the solution as bureaucratic and cumbersome.

Data Governance Models and FrameworksThe Up-side and Downside of each Model

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• Traditional– Up-side

• Often policy-directed responsibilities and accountability.• Limited number of people with key responsibilities.• Ownership of data is well defined.

– Downside• Only covers policy-directed responsibilities and accountability.• Only covers core people with core responsibilities.• Does not address the staff-level accountability.


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• Non-Invasive– Up-side

• People are not handed new responsibilities.• Governance is applied to existing process and methods.• Accountability is formalized rather then added as something new.

– Downside• Everybody is a Data Steward.• Requires a significant amount of communications.• Complete coverage requires time and considerable focus.


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• Ask yourself these five questions …– What are you trying to accomplish with formal governance?– Who do you need to convince?– Why is the culture of your organization the way it is?– When does data governance need to be in place?– How will we need to demonstrate value?

• Which model will best match and support the answer to these question?

Data Governance Models and FrameworksHow to Select the Appropriate Model for your Organization

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• What are you trying to accomplish with formal governance?– Improve information quality– Improve understanding of data– Improve classification, protection and security– Improve compliance and reporting– Improve analytical capabilities

• Which model best matches and supports your answer to this question?


What?

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• Who do you need to convince?– Senior Leadership– Specific Business Sponsor– Level of Management– Council or Committee– Project Leaders



Who?

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• Why is the culture of your organization the way it is?– Management pedigree.– Change comes slowly.– People have been in their present positions for a long time.– “No one is held accountable.”– “Consensus-driven organization.”



Why?

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• When does data governance need to be in place?– What constitutes “in place”?– How long do you want to have “governed data”?– By the end of the … period.– Project has beginning and end. Program lasts forever.– Auditable and continuous improvement must be demonstrated.– By the time a new law goes into effect.– In the time it takes to address the problem(s).



When?

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• How will we need to demonstrate value?– Through financial return on investment– Through successful project implementation– Through auditable protection of data assets– Through improvement of information quality– Through resolution of data management issues



How?

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• The choices are three …– Command-and-Control– Traditional– Non-Invasive

• The answer to the question –“Which model should we follow?” – is

It depends.


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• Tricks and Treats of Data Governance– Tricks

• Selecting the most appropriate framework / model for your organization.– Treat

• Governing data using a framework suited to your organization culture.

Data Governance Models and FrameworksDetailing the Tricks while Providing the Treats

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GOVERNANCE FRAMEWORK COMPARISON

IdentifiedRoles

SingleProcess

ROLES

PROCESS

COMMUNICATIONS

METRICS

TOOLS

You ShouldDo This

MeasureData

LeverageExisting

RecognizedFormalized

Roles

Applied toProcess

You AlreadyDo This

MeasureValue

Leverage Build and ApplyPurchased

AssignedRoles

NewProcess

You WillDo This

MeasureROI

PurchasedFocus

Copyright © 2016 – Robert S. Seiner and KIK Consulting & Educational Services, LLC

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• The trick is to Govern Roles:– Assign, identify and/or recognize people as Data Stewards– A role for everybody who has a relationship to data.– Formalize existing accountability wherever possible.

• The treat you will receive by Governing Roles:– People will be more excepting of Data Governance in general.– People will see themselves in their roles.– People will not be given the option of “opting out”.


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• The trick is to Govern Process:– Apply governance to existing process.– Create new governed process as needed.– No such thing as the “Data Governance process”.

• The treat you will receive by Governing Process:– People will feel that governance is less invasive.– People will understand formalizing processes that already exist.– People will not blame Data Governance for interfering.


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• The trick is to Govern Communications:– Put a detailed plan in place to communicate at all levels.– Include orientation, on-boarding and on-going communications.– Get people to see themselves in the communications.

• The treat you will receive by Governing Communications:– Everybody will understand their role.– People will grow to expect appropriate DG communications.– People will get the communications they need

when they need it.


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• The trick is to Govern Metrics:– Define appropriate ways to measure successful Data Governance.– Define appropriate benchmark and reporting plan.– Provide dashboards that communicate Data Governance success.

• The treat you will receive by Governing Metrics:– Successful measurement of Data Governance value.– People will know what is being monitored and measured.– People will see the value and acceptability of DG.


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• The trick is to Govern Tools:– Leverage/Build existing tools first before purchasing tools.– Govern the tool requirement process.– Govern the RFP and selection process.

• The treat you will receive by Governing Tools:– Utilize the right tool at the right time.– Will not raise expectations tool purchases bring.– Get the most value possible from DG enablers.


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• In this webinar, Bob discussed:– The three Data Governance models and frameworks– Comparison of the models– The up-side and downside of each model– How to select the appropriate model for your organization– Detailing the tricks while providing the treats

Data Governance Models and FrameworksSummary

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• Real-World Data Governance – Monthly Webinar Series– October 20, 2016 - Achieving Data Quality through Data Governance– November 17, 2016 – Corporate Data Governance – The CDO is the Data

Governance Chief – with Special Guest Anthony Algmin

Real-World Data GovernanceUpcoming Webinars

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

Real-World Data GovernanceContact Information

successful data governance models and frameworks

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