Non-Invasive Data Governance
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Provides you with a complete set of tools to help you deliver a successful data governance program.
Non-Invasive Data Governance Strikes Again: Gaining Experience and Perspective
Non-Invasive Data Governance Strikes Again provides a blend of 50 applicable lessons learned and perspectives gained from years of assisting organizations worldwide to follow the popular non-invasive approach from the bestseller, Non-Invasive Data Governance.
Topics
NIDG
CHAPTER 1: WHY THIS BOOK?
DEFINITION OF DATA GOVERNANCE
MESSAGES FOR MANAGEMENT
Calming Management’s Nerves About Data Management
What to Tell Management
CHAPTER 2: NON-INVASIVE DATA GOVERNANCE EXPLAINED
DATA GOVERNANCE IS NOT A PROCESS
DATA GOVERNANCE AND DANCING IN THE RAIN
The Middle of a Storm
Life Isn’t About Waiting for the Storm to Pass
It’s About Learning to Dance in the Rain
Case Study: Dancing in the Rain
Don’t Be Afraid to Get Wet
CHAPTER 3: BUSINESS VALUE OF DATA GOVERNANCE
GETTING THE BUSINESS TO SPEAK UP
Who Defines the Value?
Educate the Business on Your Data Governance Approach
Learn What the Business Cannot Do
Document the Business Value from the Business
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
CHAPTER 4: PLANNING YOUR DATA GOVERNANCE PROGRAM
PRINCIPLE 1: RECOGNIZE DATA AS A VALUED AND STRATEGIC ENTERPRISE ASSET
Rationale
Implications
PRINCIPLE 2: ASSIGN DATA CLEARLY DEFINED ACCOUNTABILITY
Rationale
Implications
PRINCIPLE 3: MANAGE DATA TO FOLLOW INTERNAL AND EXTERNAL RULES AND REGULATIONS
Rationale
Implications
PRINCIPLE 4: CONSISTENTLY DEFINE AND MANAGE DATA QUALITY ACROSS THE DATA LIFE CYCLE
Rationale
Implications
DATA GOVERNANCE MATURITY MODEL
Level 1 — Initial Level
Level 2 — Repeatable Level
Level 3 — Defined Level
Level 4 — Managed Level
Level 5 — Optimizing Level
CASE STUDY: ORGANIZATION IMPLEMENTS NON-INVASIVE DATA GOVERNANCE PROGRAM
DATA GOVERNANCE TEST
How to Evaluate Your Scores
What to Do with This Information
Test Conclusion
CHAPTER 5: BEST-PRACTICE DEVELOPMENT AND CRITICAL ANALYSIS
DEFINE BEST PRACTICES
Sample 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
CHAPTER 6: ROLES AND RESPONSIBILITIES — INTRODUCTION
WHERE SHOULD DATA GOVERNANCE RESIDE?
Should Data Governance Reside in Information Technology (IT)?
Leadership Is Most Important
Promoting from Within
Hiring from Outside
CHAPTER 7: ROLES AND RESPONSIBILITIES — OPERATIONAL LAYER
OPERATIONAL DATA STEWARD
RULES FOR BECOMING A DATA STEWARD
A Data Steward Can Be Absolutely Anybody
Being a Data Steward Describes a Relationship to Data and Is Not a Position
A Data Steward Is Not Hired to Be a Data Steward
A Data Steward Doesn’t Need the Title of Data Steward
A Data Steward Doesn’t Have To Be Told How To Do His or Her Job
Public or Industry Data Steward Certification Is a Load of Bunk
More Than One Data Steward Exists for Each Type of Data
Data Steward Training Should Focus on Formalizing Accountability
CHAPTER 8: ROLES AND RESPONSIBILITIES — TACTICAL LAYER
ENTERPRISE DATA PERSPECTIVE THROUGH DOMAINS
DATA DOMAIN STEWARD
An Authority or Facilitator?
How Do You Identify a Data Domain Steward?
Traits of a Data Domain Steward
What do Data Domain Stewards do, and When do They get Involved?
DATA STEWARD COORDINATOR
Data Domain
Assigning Data Steward Coordinators
Data Steward Coordinator Responsibilities
CHAPTER 9: ROLES AND RESPONSIBILITIES — STRATEGIC AND EXECUTIVE LAYERS
DATA GOVERNANCE COUNCIL
Are Data Governance Council Members Supreme Beings?
Is the Data Governance Council the Top of the Data Food Chain?
Why Do You Need a Council?
Case Study: Identifying Data Governance Council Membership
How Much Time Should Council Members Spend on Data Governance?
What Does the Data Governance Council Do?
EXECUTIVE LEADERSHIP TEAM
CHAPTER 10: ROLES AND RESPONSIBILITIES — SUPPORTING CAST
DATA GOVERNANCE PARTNERS
THE DATA GOVERNANCE TEAM
Case Studies: Data Governance Teams
PROJECT TEAM VS. PROGRAM TEAM VS. PLAIN OL’ DATA GOVERNANCE TEAM
Case Study: Project Team vs. Program Team
ROLE OF IT IN DATA GOVERNANCE
CHAPTER 11: DATA GOVERNANCE TOOLS — COMMON DATA MATRIX
STEP 1: DEFINE DATA DOMAINS (THE ROWS)
STEP 2: ASSOCIATE ROLES WITH DATA DOMAINS
Case Study: Bank Defines a Customer Data Steward
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
CHAPTER 12: DATA GOVERNANCE TOOLS — ACTIVITY 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
CHAPTER 13: DATA GOVERNANCE TOOLS — COMMUNICATIONS MATRIX
ORIENTATION COMMUNICATIONS
ONBOARDING COMMUNICATIONS
ONGOING COMMUNICATIONS
USING THE COMMUNICATIONS MATRIX
CHAPTER 14: THE END IS ONLY THE BEGINNING
SUMMARIZING THE NON-INVASIVE DATA GOVERNANCE APPROACH
DATA GOVERNANCE BILL OF RIGHTS
Getting the Right People
Involved at the Right Time
In the Right Way
Using the Right Data
To Make the Right Decision
Leading to the Right Solution
NIDG Strikes Again
Section One: Experience and Perspective
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
Section Two: Support and Value
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
Section Three: Organizations and Roles
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
Section Four: Behavior and Documentation
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
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.
Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how:
- Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work.
- Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods.
- Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives.
- A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset.
- Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.
Non-Invasive Data Governance Strikes Again
Non-Invasive Data Governance (NIDG) does not mean that the governance of data and information will be easy or without trials and tribulations. Non-invasive does not mean that the program will be low impact. The title of this book is a dichotomy: achieving measurable results by being less threatening while the impact of striking with this approach can be huge. NIDG 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.
Praise for Non-Invasive Data Governance Strikes Again
There is not a more prolific source of original ideas in the data governance community than Bob Seiner. He’s in the field every day, working alongside his clients to help them address real business opportunities and problems. So, when Bob shares “experience and perspective” in his new book, you are tapping into literally thousands of hours of hard work and creative thinking which have been applied in the real world.
Tony Shaw
CEO and Founder, DATAVERSITY
In this sequel to Non-Invasive Data Governance, Bob Seiner uncovers, unwraps, exposes, defrags, and dissects the lessons and the questions he has discovered in the application of his groundbreaking methodologies for data governance. The reader will be well prepared with examples of how to manage, steward, measure, and to become the best Data Governance professional with the least possible friction.
Michelle Finneran Dennedy
Chief Executive Officer, PrivacyCode, Inc. and Partner, Privatus Strategic Consulting
Bob’s invention of the Non-Invasive Data Governance methodology has helped to revolutionize the way organization’s manage data. And this book shares the lessons he has learned putting NIDG to practice. So, if you are looking for guidance on governing your organization’s data without requiring significant changes to existing processes or infrastructure, let Bob’s latest book be your guide.
Craig Mullins
President & Principal Consultant, Mullins Consulting, Inc.
Too often, data books present a rose-colored lens of how things should be. Bob Seiner certainly has the pedigree to know what needs to change, but he also has the practical experience to make it happen. This book is a key that can help anyone unlock the knowledge that Bob has accumulated the hard way, from the experience of many real-life data governance implementations. Everyone should add this to their data bookshelf, since no matter the scenario, there is likely to be a chapter or essay that will apply and help improve the situation. I can’t imagine a better encore to Bob’s original Non-Invasive Data Governance book!
Anthony Algmin
Founder, Algmin Data Leadership
Bob Seiner’s new book, Non-Invasive Data Governance Strikes Again, delivers the right message at the right time for today’s data-driven organizations and their data leaders, CIOs, and CDOs. Most importantly, it addresses how to garner program support, demonstrating business value, and the people and technology elements of making it work. As a critical DataOps process, it is time for data governance that actually works.
Myles Suer
Facilitator, CIOChat
Since we’ve both been involved in Data Governance since its earliest days, my friend Bob Seiner and I have many times been put together on stage to debate implementation approaches. I’d describe leadership-driven efforts focused on big changes, and he’d describe getting started with a non-threatening program that “focuses on leveraging existing levels of accountability while addressing opportunities to improve.” During debate, I’d ask him: What comes next? How do you grow such a program? How do you evolve from in-the-trenches attention to details to bigger-picture endeavors? In NIDG Strikes Again! Bob answers those questions, and more.
Gwen Thomas
Founder, The Data Governance Institute and Principal, DGI Consulting
If you enjoyed the practical guidance provided by the first Non-Invasive Data Governance book on creating a formal data governance program, you’ll appreciate the valuable insights offered in Non-Invasive Data Governance Strikes Again. This book is a must-read for data practitioners seeking to successfully navigate the multitude of corporate nuances in operationalizing data governance. Drawing on real-world experiences from his consulting practice, Bob Seiner provides readers with a wealth of practical advice on advancing their data governance program to fit their organization’s business needs. From securing business sponsorship to measuring the program’s business value to designing an effective organizational framework, this book covers it all for data leaders managing a range of data programs. Seiner has compiled these real lessons in essay form since the publication of the first book, providing readers with an updated understanding of data concepts in today’s modern workplace.
Peggy Tsai
Chief Data Officer, BigID
About Robert
Robert (Bob) S. Seiner is the President and Principal of KIK Consulting & Educational Services (KIKconsulting.com) and the Publisher 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 industry’s top-selling book on data governance, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success. In addition, Seiner holds the position of Adjunct Faculty and Instructor for the Carnegie Mellon University Heinz College Chief Data Officer certification program.
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