Non-Invasive Data Governance
Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources.
Robert (Bob) S. Seiner is the President and Principal of KIK Consulting & Educational Services (KIKconsulting.com) and the Publisher-Emeritus of The Data Administration Newsletter (TDAN.com). Seiner is a thought leader and an active consultant and mentor in data governance and metadata management. Seiner is the author of the Non-Invasive Data Governance trilogy. In addition, Seiner holds the position of Adjunct Faculty and Instructor for the Carnegie Mellon University Heinz College Chief Data and AI Officer certificate program.
Provides you with a complete set of tools to help you deliver a successful data governance program. Learn how:
Definition of data governance
Messages for management
Data governance is not a process
Data governance and dancing in the rain
Getting the business to speak up
Case study: plant manager needs data management solution
Business-value statement samples
Value-statement formulas
Business value statements for non-invasive data governance
The bottom line
Case study: management gives go ahead for data governance program
Principle 1: recognize data as a valued and strategic enterprise asset
Principle 2: assign data clearly defined accountability
Principle 3: manage data to follow internal and external rules and regulations
Principle 4: consistently define and manage data quality across the data life cycle
Data governance maturity model
Case study: organization implements non-invasive data governance program
Data governance test
Define best practices
Perform discovery by conducting interviews and meetings
Record strengths
Record opportunities to improve
Report the gaps
Report the risks
Prepare the action plan
Final thoughts on best practices
Where should data governance reside?
Operational data steward
Rules for becoming a data steward
Enterprise data perspective through domains
Data domain steward
Data steward coordinator
Data governance council
Executive leadership team
Data governance partners
The data governance team
Project team vs. Program team vs. Plain ol’ data governance team
Role of IT in data governance
Step 1: define data domains (the rows)
Step 2: associate roles with data domains
Step 3: organize columns
Step 4: fill in the cells
Case study: government agency pinpoints key data resources for divisions
Case study: university creates its data matrix
Avoid the term “data governance process”
Processes to govern
Proactive data governance
Reactive data governance
Case study: financial institution places activity matrix on its intranet
Orientation communications
Onboarding communications
Ongoing communications
Using the communications matrix
Summarizing the non-invasive data governance approach
Data governance bill of rights
Focuses on leveraging existing levels of accountability while addressing opportunities to improve. Read about a new framework for Non-Invasive Data Governance in this book that views the main components of a successful program through different levels and perspectives of the organization.
Chapter 1: Lessons Learned
Experience: What is Non-Invasive Data Governance?
Experience: The Non-Invasive Data Governance Framework
Experience: How is Non-Invasive Data Governance Different?
Experience: Comparing Approaches to Data Governance
Experience: What Makes a Data Element Critical?
Experience: A Data Governance Maturity Model
Chapter 2: Perspectives to Consider
Perspective: Fix the “Data Situation”
Perspective: Data Governance as a Puzzle
Perspective: Data is Like Contaminated Water
Perspective: Data Anarchy Versus Governance
Perspective: Defeat Your Data Demons
Perspective: Your Organization Has the Data Flu
Perspective: The Four Horsemen of the Data Apocalypse
Perspective: Time for a Data Intervention
Perspective: To Own or Not to Own Data
Perspective: Truth in Data—Buyer Beware
Chapter 3: Support and Sponsorship
Experience: CDOs Should Be Asking “How” and Not “Why”
Experience: Elements of a Data Strategy
Experience: What It Means to Make Data Governance Fun
Experience: Calm Management’s Fears About Data Governance
Perspective: Saving a Failing Data Governance Program
Chapter 4: Demonstrating Business Value
Experience: Convincing Stakeholders That Data Governance is Necessary
Perspective: The Trifecta of People, Process, and Technology
Perspective: What You Cannot Do Because Your Data is Ungoverned
Experience: Connecting Data to Revenue
Experience: Look Out for These Six Data Mistakes
Perspective: Ways to Improve Your Data
Chapter 5: Organizational Design
Experience: Organizational Design and Influence on Program Success
Experience: Federating Data Governance
Perspective: Who Should Own Data Governance?
Perspective: There is Only One Data Governance
Perspective: The Same Difference of Data Governance and Data Management
Chapter 6: Roles as the Program Backbone
Experience: Data Governance Roles and Responsibilities
Perspective: Data is Everybody’s Job
Perspective: A Steward is a Steward
Perspective: What Makes a Data Steward
Perspective: Data Stewards Should Get a Raise
Experience: Guidelines for Recognizing Data Stewards
Experience: A Data Governance Manager Job Description
Experience: The Key Role of the Data Governance Partner
Chapter 7: Governing People’s Behavior
Perspective: The Data Will Not Govern Itself
Experience: Change Data Habits Before It is Too Late
Experience: Characteristics of Governing Data
Experience: Common Data Governance Challenges
Perspective: Progressive Principles for Protecting Data
Chapter 8: Technology and Metadata
Perspective: Data Governance Challenges Associated with LLMs
Experience: Governing Data Mesh and Fabric
Experience: Questions Metadata Can Answer
Experience: Metadata Tool Requirements
Perspective: Metadata Will Not Govern Itself Either
Redefines how organizations approach data governance in the modern era and equips data leaders, data professionals, and anyone involved in data management with the tools and insights necessary to implement a data governance framework that is both effective and minimally disruptive. The book unleashes rich and practical guidance on how to implement NIDG in various organizational contexts. Whether dealing with limited resources, decentralized data management, or the need to prepare data for AI applications, readers will find actionable steps and real-world examples that make the implementation process straightforward and achievable.
The Data Will Not Govern Itself
What Data Governance ROI Looks Like
There Are Only Three Approaches to Data Governance
Is Data Governance Just Government for Data?
Informal to Formal Data Governance
Why IT Needs Data Governance
Why Information Governance Needs Data Governance
Data Governance Equals People Governance
Shifting Paradigms in Data Stewardship
Become Woke About Your Data
Dear Executive, Pay Attention to Data Governance
Data Governance for the Unwilling
Balancing “Data” and “Digital”
Data Stewardship By the People and For the People
Everybody is a Data Steward. Get Over It—Again!
A Comparison of Data Governance Vs. AI Governance
The Risk and Promise of AI
The Risk of AI Solutions with Ungoverned Data
What’s the Difference Between an AI Model and a Large Language Model?
Data is Key to Sustainable Gen AI
Connect AI and Data Governance! You Won’t Be Sorry (Unless You Don’t)
AI Will Not Render You Obsolete, However …
Artificial vs. Augmented Intelligence
What Comes After AI for Data Professionals
How to Select Data Governance Use Cases
Making Data AI-Ready
Data Investor—A New Name for a Data Owner
Strategies for Data Governance on a Limited Budget
Federated Data Governance Without Clear Authority
Don’t Assign Data Stewards
Recognize Your Data Stewards
Data Domains and Data Domain Stewards
Data Stewards are Already in the Building
Democratizing Data Stewardship
Defining Stewardship in the Age of AI
Don’t Do Data Governance
“What Data Do We Have?”
They Cannot All Be Critical: Governing CDEs
Measuring the Effectiveness of Data Governance Roles
Make Data Governance Fun
Communication’s Crucial Role in Data Governance
How to Make Data Governance More Memorable
Non-Invasive Data Governance – The Most Practical and Pragmatic Approach
Non-Invasive Data Governance By Design
Essential Roles of Non-Invasive Data Governance
Changing the Narrative with Non-Invasive Data Governance
The Non-Invasive Data Governance Framework
You Are Already Governing Your Data
Where Data Governance Should Live
The Impact of Culture on Data Governance Success
The Impact of Data Governance on Data Culture Success
Mastering Metadata Governance
Weave Data Literacy into Data Governance
Data Modernization as a Pivotal Strategy
Data Governance Leadership and Support, Sponsorship, Understanding
Let’s Not Kid Ourselves: Realistic Data Governance Goal Setting
Incorporating Politics Into Data Governance
SEE Your Data Governance Council
A Data Domain Analogy: The Grocery Store
Stop Complaining About Your Data – And Do Something About It
Data Governance Doesn’t Have to Be Scary
Ask Not What Your Data Governance Program Can Do for You …
Data Governance is a Team Sport
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