Data Governance Trends - A Look Backwards and Forwards

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Copyright © 2023 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com
Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
Real-World Data Governance
Data Governance Trends - A Look Backwards and Forwards
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
January 19, 2023 – 11:00 a.m. PT / 2:00 p.m. ET

1 | © 2023 Alation, Inc. – All Rights Reserved.
Data Intelligence + Human Brilliance™
Selling the Value of DG
During Recession

Zanny Minton Beddoes, Editor-in-Chief,
The Economist Proclaims

Typical Approaches to Recession
• React vs. Plan
• Survival Mode
• Cautious
• Focus on Cost Cutting
• Turn Away from Innovation/Digital
Transformation
• Across the Board Headcount Reductions
• Early Retirement Packages

Problems With These Approach
• Does Not Deal With a
Recession’s Uncertainty
• Knee Caps Businesses That Can
Grow or Thrive During a
Recession
• Slows Transformation
• Puts Org Further Behind When
Recession Over
• Can Even Result in a Continuing
Fiscal Funk When the Recession
is Over (ex Honeywell)

Can You Do Better Than Just Survive a Recession?

Firms should prioritize data ahead of,
or during, a downturn because
improved analytics can help
management better understand its
businesses, how the recession is
affecting each business,
and where there’s potential for
operational improvements.”
“
Katy George
Senior Partner at McKinsey

Time to Tell the Whole Story of Data Governance
Parking Data
Governance Under Data
Defense Only Creates a
Perception Problem
Makes it harder for the
businesses to care
about data governance
Instead, we should
think about data
governance as having
defensive and offensive
components

place image here
Time to Define Data Governance
In Business Terms?
Be about the people, processes and
technology that enable delivery of the right
data to the right people at the right time to
support data-driven decisions based upon
trusted information, bridging the gap between
data and the business.

Effective Data Governance Delivers
• Right source
• Right quality
• Certified to be trustworthy
• To the people who need it when they need it
• To make data driven decisions

Defining Defense and Offense
Defense
• Demonstrates compliance with policies and
governmental regulations.
• Provides lineage to support and defend
audits.
• Records compliance with privacy and other
regulatory expectations.
• Confirms the provenance of the data.
Offense
• Exploits data assets to deliver top-line value
at the speed of business.
• Aligns business definitions to measurements
and metrics to drive alignment.
• Calibrates trust in the data so decision-
makers know it is appropriate to use.
• Supports self-service and democratizes data
so decision-making can be done faster.
• Employs impact analysis of data products
through data lineage.

Parting Data Governance Thoughts
• Offense is about generating business value from data
• Offense recognizes data is produced and must be made fit for purpose
• Emphasizes improvement of data based on data quality findings
• Speeds up the time to value by setting up data the right way
• Mixing in offensive creates tangible business value
• Defensive continues to have value, but data governance today needs to be
relevant to more than just risk-dominated businesses

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Introduction
Real-World Data Governance – Monthly Webinar Series
February 16, 2023: Data Catalogs Are the Answer – What Is the Question?
Third Thursday each Month @ 2pm EST – Register at TDAN.com, KIKconsulting.com, DATAVERSITY.net
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Home of Non-Invasive Data Governance™
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Adjunct Faculty: Heinz College Chief Data Officer (CDO) Certificate Program

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• In this webinar, I will talk about …
– Data Governance’s Past and Present
– How Trials and Tribulations Evolve to Success
– Leveraging Lessons Learned to Improve Productivity
– The Great Data Governance Tool Explosion
– The Future of Data Governance
Abstract

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Definitions
• Data Governance – The execution and enforcement of authority over data.
• Data Stewardship – Formal accountability for data.
• Data Steward – A person held formally accountable for their relationship to the data.
• Metadata – Data that improves both the
business and technical understanding of the data.

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• Data Governance Past – Where have we come from?
• Data Governance Present – Where are we now?
• Data Governance Trends – What’s prevailing tendency?
• Lessons Learned & Perspective Gained
Data Governance’s Past and Present

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• Data Governance Past – Where have we come from?
– In the 90s – Data Administration and Data Modeling
– In the 00s – Data Management, Data Architecture and Metadata Repositories
– In the 10s – Data Governance, Data Management and Metadata Management
– In the early 20s – Data and Information Governance and Data Catalogs
– In the mid 20s – Enterprise Governance, Data Virtualization and Visualization and Data Catalogs
– In the late 20s – Data Science, Artificial Intelligence, Machine Learning and Data Catalogs

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• Data Governance Present – Where are we now?
– Where are YOU now? It depends on the organization.
– Where are YOU now when it comes to your data catalog and metadata management?
– There are tools that are available to help you catalog your data.
– There are tools that are available to help you monitor your data.
– There are tools that are available to help you protect your data.
– Looking at Data Mesh (data governance approach Chatbot.GBT)
– Looking at Data Fabric (data management approach Chatbot.GBT)
… fill in the red ...

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• Data Governance Trends – What’s prevailing tendency?
– Starting … and … Maturing Programs
– Information Governance is Hot!
– Governance in General is Hot!
– Data Catalogs and Automation
– Business Glossaries, Data Dictionaries, Lineage, Marketplace, Discoverability
– Supporting Enterprise Analytic Endeavors

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• Lessons Learned & Perspective Gained
– Isn’t that what we all are going through? What’s better than to learn from what we’ve done?
– Learning from experience what works and what doesn’t! That is painful for many.
– Assigning Recognizing ownership, Reusable components, Opportunity intake, Data literacy
– Digital and Business transformations are underway with or without formal governance in place.
– Senior Leadership recognizes the importance of Data Governance more and more …
– Overall feeling is that we aren’t there yet!

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• Learning by Trial
• Tribulations and Consequences
• An Evolution, Not a Revolution
• Definition of Success
How Trials and Tribulations Evolve to Success

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• Learning by Trial
– The approach the program follows – Command-and-Control, Traditional, Non-Invasive
– The roles the program recognizes – Executive, Strategic, Tactical, Operational, Support
– The support the program receives – Sponsorship, Resources, Participation, Partnership
– The value the program delivers – Accountability, Ownership, Confidence, Quality
– The understanding the organization has – Communications, Awareness, Literacy
Leverage what is working.
Address opportunities to improve.
Address gaps and risks.

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• Tribulations and Consequences
– The approach the program follows – Command-and-Control, Traditional, Non-Invasive.
– The roles the program recognizes – Executive, Strategic, Tactical, Operational, Support
– The support the program receives – Sponsorship, Resources, Participation, Partnership
– The value the program delivers – Accountability, Ownership, Confidence, Quality
– The understanding the organization has – Communications, Awareness, Literacy
Address Issues Encountered
Demonstrate Issues from Lack of Governance
Implications of Approach Selected

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• An Evolution, Not a Revolution
– A piece of a piece of the pie. Incrementally extend across the organization.
– Speed depends on capacity. Administration to address issues and opportunities.
– Begin with Critical Data Elements (CDEs). Remember that CDEs have tentacles.
– Engage working teams of stewards. Both tactical and operational.
– Address intake process for issues and opportunities. Divvy up governance.
– Compile a tool kit. Reuse components (data, roles, processes, communications, metrics, tools).

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• Definition of Success
– Purpose statement focuses on success. Such as “Use strategic data with confidence”.
– Incremental success beginning early. Low hanging fruit if available.
– Improved … access, availability, compliance, confidence, protection, quality, understanding, …
– Improved … accountability, collaboration, cooperation, coordination, …
– Revenue driven from data. In extreme cases.
– Cost Savings driven from data. More practical expectation.

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• Governing Data Where It (They) Lives
• Building Efficiency Into Process
• Activating Stewards By Sharing Intelligence
• Making Data Governance Fun
Leveraging Lessons Learned to Improve Productivity

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• Governing Data Where It (They) Lives
– Concept of Data Mesh. Accountability for data at its source.
– Concept of Non-Invasive Data Governance. Formalize accountability .
– Recognize accountability at every phase of data lifecycle. Cradle to grave.
– Common Data Governance practice. Especially purveyors of NIDG.
– Formalize existing levels of accountability instead of adding on.

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• Use Lessons Learned to Build Efficiency Into Process
– “Right” person at the
– “Right” time using the
– “Right” data for the
– “Right” purpose to drive the
– “Right” decision leading to the
– “Right” business outcome.
“
”

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• Activating Stewards By Sharing Intelligence
– Improve the data intelligence available to knowledge workers.
– Facilitate and coordinate stewarding activities.
– Increase collaboration and cooperation between stewards.
– Engage stewards through gamification and meeting them where they work.
– Activate by getting stewards to recognize themselves as playing an important role.

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• Making Data Governance Fun
– Incorporate Game Activities
– Make Stewarding Something People Want to Do
– Create Friendly Competition
– Provide Reward and Recognition

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• Data Governance Tools of Yesteryear
• Business Glossaries & Data Dictionaries
• Metadata Repositories & Data Catalogs
• Data Governance Tools of Tomorrow
The Great Data Governance Tool Explosion

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• Data Governance Tools of Yesteryear
– Hint! They weren’t called Data Governance tools.
– Business Glossaries and Data Dictionaries
– Metadata Repositories
– Mainframe Based
– Distributed – Internet Based
– Cloud Based and SaaS

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• Business Glossaries & Data Dictionaries
– As Old as the Dinosaurs
– Business Terminology – Common Business Language
– Data Resource Documentation – Data Elements Definitions and Attributes
– Still the Most Used Functionality in Many Data Catalogs
– Improves Findability, Understanding, Confidence, … of Data
– Where the Rationalization of Data Begins

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• Metadata Repositories & Data Catalogs
– Data Catalogs of Many Colors
– AGO Market Research on Data Catalogs – 318 Vendors Used That Name (in 2019-20)
– Metadata Repository Name is Not Being Used Anymore
– Automation and Machine Learning are Top of Mind
– Integration with Other Tools in the Landscape is Top of Mind

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• Data Governance Tools of Tomorrow
– Automation and Machine Learning Will Be Differentiators
– Deliver Metadata With Data
– Integration with Other Office Tools
– Perhaps Data Catalogs Will Become Integral to Business Work
– Face of Data Governance

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• Not a Prognosticator, Nor is This Prognostication
• Ability to Govern All Types of Data
• Ability to Govern Through All Technologies
• Govern Data Where It (They) Lives
• Less and Less Invasive-Ness
The Future of Data Governance

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• Not a Prognosticator, Nor is This Prognostication
– I am many things.
– Predictor of the Future is Not One of Them
– Only Share What I See
– Data Governance is Not Going Away
– Data and Metadata Will Not Govern Themselves
– Everybody is a Data Steward

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• Ability to Govern All Types of Data
– Difference Between Governance and Management
– Traditional Data Governance – Structured Data
– Information Governance – Unstructured Data
– Corporate Governance – Rules, Processes, Laws by which
Businesses are Operated, Regulated, Controlled TechTarget.com
– IT Governance - formal framework that provides a
structure for organizations to ensure that IT investments
support business objectives. CIO.com
– Process, KPI, Analytics, Metadata, … You name it.

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• Ability to Govern Through All Technologies
– Artificial Intelligence
– Augmented Reality
– Virtual Reality
– 3D Printing
– Internet of Things
– Robotics
– Quantum Computing
– Gene Editing
– Material Science
– Blockchain Technology
– Customer Communications
– Embedded Business Intelligence
– Visual Presentation
– Video Messaging
– Augmented Analytics

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• Govern Data Where It (They) Lives
– The Place It Lives
– With Whom It Lives
– How It Lives
– When It Lives
– What It Lives On
– The future of data governance is built into what people do !!!

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• Less and Less Invasive-Ness
– Recognition That Governance is Already Happening
– Proliferation of the Use of the Word Governance
– Executing and Enforcing Authority Common Place Because It Is Necessary
– Command-and-Control, Traditional, and Non-Invasive Approach Options
– Organizations Will Start and Stay Non-Invasive in Their Approach

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• In the webinar, I shared …
– Data Governance’s Past and Present
– How Trials and Tribulations Evolve to Success
– Leveraging Lessons Learned to Improve Productivity
– The Great Data Governance Tool Explosion
– The Future of Data Governance
Summary

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Q & A - Contact Information
• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
rseiner@tdan.com @RSeiner
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