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Data Governance and CSR: Evolving Together
In a world where every claim your organization makes — about sustainability, equity, or social impact — is scrutinized by regulators, investors, and the public, one truth stands out: Your data has never mattered more. Corporate Social Responsibility (CSR) isn’t just about good intentions — it is about trustworthy, transparent data that stands up to […]


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Author: Robert S. Seiner

Tending the Unicorn Farm: A Business Case for Quantum Computing
Welcome to the whimsical wide world of unicorn farming. Talking about quantum computing is a bit like tending to your unicorn farm, in that a lossless chip (at the time of writing) does not exist. So, largely, the realm of quantum computing is just slightly faster than normal compute power. The true parallel nature of […]


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Author: Mark Horseman

The Five Levels Essential to Scaling Your Data Strategy
Scaling your data strategy will inevitably result in winners and losers. Some work out the system to apply in their organization and skillfully tailor it to meet the demands and context of their organization, and some don’t or can’t. It’s something of a game.  But how can you position yourself as a winner? Read on […]


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Author: Jason Foster

Why Data Governance Still Matters in the Age of AI
At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that chief data officers consistently cite culture — not technology — as their greatest challenge. Despite a decade of research and experience pointing to the same root cause, conversations still tend to focus on tools rather than […]


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Author: Christine Haskell

Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?
While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is your data quality management (DQM) program ready for AI?  In my opinion, you need to be able to answer yes to the following four questions before you can have any assurance you are ready to […]


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Author: Dr. John Talburt

A Step Ahead: From Acts to Aggregates — Record-ness and Data-ness in Practice
Introduction  What is the difference between records and data? What differentiates records managers from data managers? Do these distinctions still matter as organizations take the plunge into artificial intelligence? Discussions that attempt to distinguish between records and data frequently articulate a heuristic for differentiation. “These items are records; those items are data.” Many organizations have […]


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Author: The MITRE Corporation

Understanding Data Pipelines: Why They Matter, and How to Build Them
Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable insights. Businesses rely on seamless, efficient, scalable pipelines for proper data collection, processing, and analysis. Without a well-designed data pipeline, there’s no assurance that the accuracy and timeliness of data will be available to empower decision-making.   Companies face several […]


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Author: Ramalakshmi Murugan

A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems
As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively.  Enterprises are realizing that the success of their AI and analytics ambitions hinges not on tools or algorithms, but on the quality, trustworthiness, and accountability of the data that fuels them.  Yet, […]


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Author: Gopi Maren

All in the Data: Where Good Data Comes From
Let’s start with a truth that too many people still overlook — not all data is good data. Just because something is sitting in a database or spreadsheet doesn’t mean it’s accurate, trustworthy, or useful. In the age of AI and advanced analytics, we’ve somehow convinced ourselves that data — any data — can be […]


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Author: Robert S. Seiner

The Book Look: Rewiring Your Mind for AI
I collect baseball and non-sport cards. I started collecting when I was a kid, stopped for about 40 years, and returned to collecting again, maybe as part of a mid-life crisis. I don’t have the patience today though, that I had when I was 12. For example, yesterday I wanted to find out the most […]


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Author: Steve Hoberman

Rethinking Data-Driven Leadership
After reading a piece a while back on why people “don’t trust data, they only trust other people,” I found myself agreeing — but also seeing another side to the story.  In my experience, leaders don’t trust data directly — they trust the story data helps them tell. Sometimes that story reinforces what they already […]


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Author: Christine Haskell

Data Is Risky Business: Sustainability and Resilience in Data Governance
This quarter’s column is co-authored with Anthony Mazzarella, a fellow practitioner-academic doing research into what makes data governance “tick.” There has been a lot of commentary on social media and elsewhere in recent months about how data governance has failed and how we need to reframe the discussion on what it means to govern data, […]


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Author: Daragh O Brien

Thoughts on the DAMA DMBoK
Many years ago, I contributed material on Database Development and Database Operations Management to the first edition of DAMA International’s “Data Management Body of Knowledge” (the DAMA DMBoK).i Now that work has begun on the Third Edition of the DMBoK, I’d like to share a few thoughts and critiques on the DMBoK for consideration. Some […]


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Author: Larry Burns

The Role of AI in Mitigating Next-Generation Cyber Threats
The digital age has witnessed an exponential increase in data creation and interconnectivity, resulting in unprecedented challenges in cybersecurity. Businesses, governments, and individuals are perpetually at risk of cyber-attacks ranging from data breaches and financial theft to espionage and infrastructure sabotage. While necessary, traditional cybersecurity measures are often reactive rather than proactive, struggling to adapt […]


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Author: Srinivasa Bogireddy

Legal Issues for Data Professionals: Preventive Healthcare and Data
This column addresses the role of data in the field of healthcare known as “preventive healthcare.” Preventive healthcare is undergoing changes as data increases its scope and the role it plays in healthcare.  What Is Preventive Healthcare and Its Data?     For the purpose of this article, traditional healthcare refers to patient care received from a […]


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Author: William A. Tanenbaum

AI and Business Transformation: Balancing Innovation and Control
AI is no longer just a concept or a futuristic tool. It’s here and it’s likely already integrated into many aspects of your business, potentially in ways you might not even realize. AI’s potential to transform how we operate, deliver services, and optimize workflows offers significant benefits, but it also comes with responsibilities — and […]


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Author: Ben Hunter III

Is the Scope of Data Governance Enough?
Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan Reichental in “Data Governance for Dummies,” the scope of governance extends well beyond data ownership and stewardship. It encompasses metadata, data architecture, master and reference data management, storage, integration, […]


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Author: Myles Suer

Continuous Delivery for Data Pipelines: A Practical Guide
What Is Continuous Delivery?   Continuous delivery (CD) refers to a software engineering approach where teams produce software in short cycles, ensuring that software can be reliably released at any time. Its main goals are to build, test, and release software faster and more frequently. This process typically involves deploying every change to a production-like environment […]


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Author: Gilad David Maayan

The Data-Centric Revolution: The Year of the Knowledge Graph
Signals are converging and leading me to believe that 2025 is the Year of the Knowledge Graph. But before we get carried away with this prognosis, let’s review some of the previous Year of the Knowledge Graph candidates and see why they didn’t work out.  2001  The first candidate for the Year of the Knowledge […]


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Author: Dave McComb

Through the Looking Glass: On the Data (and Lack of Such) About Busking
I started playing cello in fourth grade, in the suburbs of Hartford, Conn. I can’t remember when I discovered that musicians played in the New York City streets and subways. But I recall that by high school, I had decided that would be the absolute coolest thing to do.  Sometime later, I learned that this […]


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Author: Randall Gordon

Beyond Paper Policies: Building a Living Data Policy Framework
Data policies serve as the guardrails for how organizations manage their most valuable asset: data. Just as communities establish guidelines for shared community spaces, data policies provide the framework for how teams access, utilize, and govern their collective and shared data resources.  These policies aren’t merely bureaucratic exercises. They establish the rules of engagement for […]


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Author: Subasini Periyakaruppan

AI’s Newest Employee: Who Bears the Burden of Your Digital Co-Workers?
Digital co-workers are no longer hypothetical. AI-driven agents (“Agentics”) are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream — they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle.  […]


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Author: Christine Haskell

Data Is Risky Business: Is Data Governance Failing? Or Are We Failing Data Governance?
In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others. The eye-catching headline: “Data Governance is failing — here’s why.” The article sets out the results of a Force Field Analysis study carried out by the authors to try and understand why, […]


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Author: Daragh O Brien

Through the Looking Glass: Technology Solutions in Search of a Problem
When I read about new technologies, I often think of the movie “Field of Dreams.” The protagonist builds a baseball field in the middle of a corn field because he hears a voice. “If you build it, they will come.” In the movie’s case, “they” are ghostly baseball players. For technology companies, “they” are businesses […]


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Author: Randall Gordon

A Data Value Manifesto
If you haven’t already heard, a number of organizations have laid off their CDOs and CDO groups and data teams because of a perceived lack of significant or measurable business value. In addition, a recently released report from MIT Sloan delivers some very depressing numbers about the efficacy of CDO groupsi:  The average tenure of […]


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Author: Larry Burns