Real-World Data Governance: Non-Invasive Data Governance - The Practical Approach

Real World Data Governance
Non-Invasive Data Governance™ – The Practical Approach
Monthly Webinar Series Hosted by Dataversity
Robert S. Seiner – KIK Consulting / TDAN.com
March 15, 2012 – 2:00 p.m. EST

Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com

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Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
Twitter About This Session at #RWDG
Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com

Non-Invasive Data Governance™
Upcoming Webinars

• Real-World Data Governance – Monthly Webinar Series
– April 19, 2012 – Governing Unstructured Data – 2pm EST
– May 17, 2012 – Data Governance, Big Data and the Cloud – 2pm EST
– June 21, 2012 – Setting Appropriate Business Expectations – 2pm EST
– Register On-Line at Dataversity.Net

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Abstract

• Organizations all govern data. The truth is that some organizations govern data
more formally than others. Most organizations will state that their existing levels of
governance are very informal, inefficient and even ineffective. Imagine if there was
a way to move your organization from informal to formal governance in a few
simple steps. Well … there is. This approach is called Non-Invasive Data
Governance™ and the approach is practiced and shared by Bob Seiner.

• Join Bob Seiner and DATAVERSITY for the third in a series of Data Governance
webinars titled “Real World Data Governance” where Bob shares key features and
valuable components of Non-Invasive Data Governance programs. Bob will share
examples of roles and responsibilities, how to apply governance to existing
processes, Identifying rather than assigning data stewards, other aspects of
how organizations have stayed non-threatening and non-invasive in their
approach to Data Governance.

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Abstract

• Questions Answered in this Session:
– What do you mean by Non-Invasive Data Governance™?
– What does it really mean to “Govern Data”?
– What should be our Messages for Management?
– What Roles & Responsibilities are required to run a
Non-Invasive Data Governance™ program?
– How do we Apply Non-Invasive Data Governance ™?

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How Can Governance Be Non-Invasive?

• What is meant by Non-Invasive Data Governance™?:
With Data Governance in General:
– Many organizations view Data Governance as being over-and-above normal
work efforts and threatening to the existing work culture of the organization.
It does not have to be that way.
– Many organizations have a difficult time getting people to adopt Data
Governance best practices because of a common belief that Data Governance is
about command-and-control.
– 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
that Data Governance has to be invasive or threatening to the work, people and
culture of the organization.

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With Non-Invasive Data Governance™:
– Data steward responsibilities are identified and recognized, formalized and
engaged according to their existing responsibility rather than being assigned or
handed to people as more work.
– The governance of data is applied to existing policies, standard operating
procedures, practices, and methodologies … rather than being introduced or
emphasized as new processes or methods.
– The governance of data augments and supports all data integration, risk
management, business intelligence and master data management activities
rather than imposing inconsistent rigor to these initiatives.

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With Non-Invasive Data Governance™:
– Specific attention is paid to assuring senior management’s understanding of a
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-
organization asset, rather than the traditional method of “you will do this”.
– Best practices and key concepts of the non-threatening approach are
communicated effectively, compared to existing practices to identify and
leverage strengths and enable the ability to address opportunities to improve.

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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
Formalization of behavior around the definition, production and
usage of data to manage risk and improve quality and usability of
selected data.
Formalization and guidance for behavior over the definition,
production and use of information and information related assets.

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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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What Does It Mean to “Govern Data”

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

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• Successful Data Governance Implementations
Financial Industries
– Insurance Company / Bank
Govern Data to Support an Established Enterprise Data Strategy
Focused on Confidentiality, Integrity & Availability
– Financial Institution / Bank
Govern Data to Support Increased Business Intelligence & Data Integration Emphasis
and to Assure Quality Data from Acquisition
– Financial Institution / Bank
Govern Data for Master Data Management Initiative and to Improve
Credit Risk Management, Support Data Warehouse
– Investment Management Company
Govern Data to Lower Risks Related to Audit, Compliance,
Information Security, Federal Regulations

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• Successful Data Governance Implementations
Non-Financial Industries
– International Manufacturing Company
Govern Data to Support Seven Year “Enterprise” Data Integration
Effort Labeled as their “One SAP” Implementation
– U.S. Government Agency
Govern Data Across All Global Disciplines Where Structured &
Unstructured Data is Collected
– Health Care Institution
Govern Data to Related to Clinical Operations and to Lower Risks Associated With
Government Regulations
– U.S. University
Govern Data to Enforce Data Classification Policy Including Secured (Private) Data,
Sensitive (Internal) and Public (Open) Data

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• Basic Building Blocks of Data Governance
– Program Vs. Project
– Senior Management Sponsorship & Support
– Best Practices / Policy
– Assessment of Present State Vs. Governed State
– Leverage Strengths / Address Opportunities to Improve
– Roles & Responsibilities
– Formalized Accountability & Decision Making
– Enforcement of Governance Principles
– Communications Planning
– Action Planning

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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 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.

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Messages for Management

• Design Your Program to Demonstrate Success in:
– Risk Management & Data Protection
– Data Compliance & Regulatory Control
– Information Security & Data Classification
– Meta-Data Management
– Data Quality Management
– Business Intelligence & Data Integration
– Master Data Management

• How Well Does Your Program Support these Disciplines?
How Do You Know Where You Need Advancement?
• Take a Test – Go to TDAN.com – Search on “Data Governance Test”

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Key Concepts

• Concepts of Non-Invasive Data Governance™
– Do Not give employees new job titles and recognize that the majority of their
present work will not change.
– Data Stewards are Not hired. Data Stewards Are identified & engaged according
to their present responsibilities.
– A Data Steward is Not a position. Becoming a Data Steward Is an accountability
for the management of a subset of enterprise data.
– The Data Stewardship process will Not create new tasks or time commitments but
instead will ensure that the appropriate Data Stewards are identified, engaged in
each data related task.

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Key Concepts

• Concepts of Non-Invasive Data Governance™
– Data Stewards Will Not be given additional work over and above their present
responsibilities.
– Present responsibilities related to data management Will be formalized &
recorded to ensure consistent and complete involvement of the appropriate data
stewards.
– The time commitment of each Data Steward will depend on the number of
projects and data issues which impact their area of expertise.
– Data Stewards will be provided the knowledge, tools, forums and processes to
become more effective and more efficient data managers.

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Roles & Responsibilities

• What approaches have organizations used to identify data governance roles
and invoke data responsibility?
• Roles and Responsibility Approaches:
– Non-Invasive Approach
• Identifying people into roles rather than assigning people to roles.
• Leveraging existing responsibility
– Command and Control Approach
• Assigning people into roles
• Giving people new responsibilities
– 2’ x 4’ Approach
• Data Governance is “Not Optional”
• People will have to make time

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



• Data Governance Operating Model of Roles & Responsibilities
– Executive Level
• Steering Committee
– Strategic Level
• Data Governance Council
– Tactical Level
• Data Domain Stewards
• Data Steward Coordinators
– Operational Level
• Data Definers, Data Producers, Data Users
– Support Level
• Data Governance Team
• Information Technology – Data and System SMEs

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


KIK Consulting & Educational Services, LLC
“Non-Invasive Data Governance”™ Operating Model
of Roles & Responsibilities

Data Governance Program Team Executive Level

EXISTS
Data Governance Team Manager Data Steering Committee
NEW

Responsible for Administering the Program, Senior-most level knowledge of the program.
facilitating use of the Data Governance Council, Leverage existing business structure as possible.
communicating program components and value to the Organization. If no structure exists, utilize an IT Steering Committee
Executive
Advisory assistance from other levels. or an executive founded board or council.

LEVERAGE
IT Subject Resource Experts Strategic Level
System/Data Resource Experts Data Governance Council
EXISTS

IT Staff including Application Data Governance Sponsors Group
Development, Data Design, or Group of similar participation. One person, plus
Security, and other Data alternate, for each Business Unit represented & IT.
Strategic -
Resource Management. Consider financial services & human resources.
Enterprise

Tactical Level
T)

Data Domain Stewards
GP
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Per assigned Subject Areas

NEW
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m

Data Steward Coordinators
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Tactical Level - Cross Business Unit
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Operational Level
rn

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Operational Data Stewards (existing)
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EXISTS
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Data Definers, Producers, Users
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These people are presently defining,

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producing and using data as part of their

n

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jobs. Recording of the Operational Data

/A

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Stewards will be an important enabler of

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improved communications, coordination

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and cooperation among stewards.

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Operational Level - Business Unit Specific

Copyright © 2009 - Robert S. Seiner - KIK Consulting & Educational Services, LLC - All Rights Reserved

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21


Applying Governance

• Two Basic Models for Applying Data Governance
– Build From the Outside In (Command & Control)
• Bring in External Governing Structure – Change Internal Structure
• Assign / Slot People to Specific Governance & Stewardship Roles
• Give Departmental Individuals Authority to Make Data Decisions
• Typical Levels Involved – Strategic & Operational
– Build From the Outside In (Designed & Implemented to Handle)
• Government – Periodic Infrastructure Changes
• Education – Periodic Staffing / Culture Changes
• Public Services – Locked Down Responsibilities
• All – Regulatory, Compliance, Security, Classification Focus

22


Applying Governance

• Two Basic Models for Applying Data Governance
– Build From Inside Out (Non-Threatening / Non-Invasive)
• Utilize a Proven Operating Model of Roles & Responsibilities
• Apply Framework to Existing Roles, Organization, Authority, Culture
• Identify & Formalize Existing Levels of Informal Governance
• Apply Best Practices to Pro-Active & Re-Active Processes
• Typical Levels Involved – Exec, Strategic, Tactical, Operations, Support
• Enterprise Addressed in an Iterative & Incremental Fashion
– Build From Inside Out (Leverage & Address Opportunities to Improve)
• Financial – Risk Management & Sustainable People / Process
• Manufacturing – Research, Development, Delivery
• Sciences & Pharmaceutical – Infrastructure Similar to Manufacturing
• All – Regulatory, Compliance, Security, Classification Focus

23


Applying Governance

• Applying “Active” Data Governance
– Pro-Active Governance – Through Method / Process
– Re-Active Governance – Through Issue Resolution

• Non-Invasive Implies That You Will Overlay Roles & Responsibilities Over
Existing Organization, Methodologies & Work-Flow

24


Applying Governance

25


Applying Governance

26


Applying Governance

• Re-Active Data Governance Methodology (Issue Resolution)
– Qualify & Prioritize Data Issues
– 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

• Cross Reference DQ Methodology & Resources
– Who does What and When?

27


KIK Start in a Non-Invasive Way

• Program Activities
– Best Practices
– Governance Policy
– Operating Model
– Action Plan
– Communications Plan
– Gain Executive and Strategic …
• Support
• Sponsorship
• Understanding
• Engagement

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KIK Start in a Non-Invasive Way

• Focused Business & Governance Activities
1. Identify the Data that you will govern for this initiative
2. Identify the Data Domains, Subject Areas, Functions, … for that data
3. Identify Sources / Occurrences / System of Record … for that data
4. Complete Common Data Matrix … for that data
5. Identify / Recognize Data Domain Stewards … for that data
6. Identify / Recognize Operational Data Stewards … for that data
7. Record Governance Issues Associated … with that data
8. Prioritize Governance Issues … for that data
9. Complete Governance Accountability / Activity Matrix … for that data
10. Address Governance Issues … for that data

29


Wrap Up

• Webinar Summary
– What is meant by Non-Invasive Data Governance™ ?
– Data Governance Definitions
– What Does It Mean to “Govern Data”?
– Messages for Management
– Non-Invasive Roles & Responsibilities
– Applying Governance in a Non-Invasive Way

• Questions & Answers

30


Coming Up

• Real-World Data Governance – Monthly Webinar Series
– April 19, 2012 – Governing Unstructured Data – 2pm EST
– May 17, 2012 – Data Governance, Big Data and the Cloud – 2pm EST
– June 21, 2012 – Setting Appropriate Business Expectations – 2pm EST

31


Contact Information

• 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)
rseiner@kikconsulting.com
rseiner@tdan.com

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Real-World Data Governance: Non-Invasive Data Governance - The Practical Approach

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