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Data Professional Introspective: Your Organization Can’t Create an EDM Strategy
Some countries successfully create long-term strategic plans. For example, China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020. In 1980, there were 540M people living in extreme poverty; by 2014, there were only 80 million. The second 100-year plan, targeted for 2050, calls for achieving 30% of global GDP, to […]


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Author: Melanie Mecca

All in the Data: Too Soon for Q Governance?
Quantum computing, with its groundbreaking capabilities, is poised to redefine how organizations solve complex problems and innovate in ways previously unimaginable. As industries begin to explore its potential, a pressing question emerges: Are we ready to govern this new frontier? Much like the evolution of AI necessitated AI governance, quantum computing demands its own variation […]


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Author: Robert S. Seiner

The Book Look: AI & The Data Revolution
I am just going to start off by saying that I am a Laura Madsen fan. Her writing style combines laugh-out-loud humor with practical experience, making her books both enjoyable and educational. Even some of the book’s subheadings, like “Let’s Not Do Dumb Stuff Faster” and “Kwality Is Job One,” made me laugh out loud.  […]


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Author: Steve Hoberman

Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain
Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the data from any given source is unreliable, then the training data will be deficient and the LLM output will be untrustworthy. […]


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Author: William A. Tanenbaum and Isaac Greaney

The Art of Lean Governance: A Systems Thinking Approach to Data Governance
A systems thinking approach to process control and optimization demands continual data quality feedback loops. Moving the quality checks upstream to the source system provides the most extensive control coverage. Data quality approaches not utilizing these loops will fail to achieve the desired results, often worsening the problem.  Data Governance is about gaining trust and […]


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Author: Steve Zagoudis

Data Is Risky Business: Scaling Data Governance to the National Stage
I recently started a doctorate. And because I obviously have too much free time after running my business, teaching, and writing columns for august publications like this, I’m looking at data governance. But not at the level of the organization. My doctoral research will be a deep dive into some oft-neglected human factors that need to […]


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Author: Daragh O Brien

The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in this article that the central issue around which these others revolve is data complexity. It’s the complexity of data that creates and perpetuates these other problems. As we’ll see, it is a tractable problem that […]


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Author: Dave McComb

Eyes on Data: Understanding Data Products and Their Role in Data Marketplaces
In the rapidly evolving landscape of data management, the concept of data products has emerged as a cornerstone for effective data utilization and governance. Industry experts have shed light on the critical nature of data products, their distinction from data assets, and their pivotal role in data marketplaces. As organizations strive to maximize the value […]


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Author: EDM Council

Data Professional Introspective: The Data Management Education Program (Part 2)
In my work with the EDM Council’s Data Management Capability Assessment Model (DCAM) 3.0 development group, we are adding a capability that has remained under the radar in our industry, that is, the responsibility of the Data Management Program to determine concept and knowledge gaps within its staff resources. The organization should then plan, organize, […]


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Author: Melanie Mecca

The Book Look: AI Governance
Technics Publications has started publishing a line of Data-Driven AI books, and one of the first books in this series is “AI Governance” by Dr. Darryl J Carlton. The goal of the book in one sentence is to enable the reader to gain the knowledge and tools to effectively govern and oversee the use of […]


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Author: Steve Hoberman

Through the Looking Glass: Metaphors, MUNCH, and Large Language Models
“What’s a metaphor?”  Mr. Biergel posed the question one morning to my high school grammar class. Being typical teenagers, we looked at him with blank-eyed stares. We expected that if we waited long enough, he’d write a paragraph-long definition on the blackboard.  “What’s a metaphor?” he repeated.  “A place for cows to graze!”  We groaned. […]


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Author: Randall Gordon

The Art of Lean Governance: What We Can Learn from HAZMAT Professionals
The collapse of the Francis Scott Key bridge on March 26, 2024, was a tragic loss of life and disruption to the shipping supply chain on a global scale that will take months, if not years, to fully recover. A major shipping artery in and out of the United States was severed, stranding ships on […]


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Author: Steve Zagoudis

Eyes on Data: Improving ESG Reporting with Established Industry Standards
In today’s rapidly evolving corporate landscape, environmental, social, and governance (ESG) reporting has become a focal point for organizations aiming to demonstrate their commitment to sustainability and responsible business practices and comply with a growing roster of regulations. As companies navigate the complexities of ESG reporting, they increasingly seek guidance on how to effectively manage […]


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Author: EDM Council

Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs. Spoiler alert if you have not read […]


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Author: John Wills

Data Professional Introspective: The Data Management Education Program
In my work with the EDM Council’s Data Management Capability Assessment Model (DCAM) 3.0 development group, we are adding a capability that has remained under the radar in our industry: the responsibility of the Data Management Program to determine concept and knowledge gaps within its staff resources. The organization should then plan, organize, and make […]


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Author: Melanie Mecca

Data Is Risky Business: The Opportunity Exists Between Keyboard and Chair
I’m doing some research work for a thing (more on that thing later in the column). My research has had me diving through all the published academic research in the field of data governance (DG) that deals with critical success factors for sustainable (as in: “not falling over and sinking into a swamp with all […]


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Author: Daragh O Brien

Legal Issues for Data Professionals: AI Creates Hidden Data and IP Legal Problems
As data has catapulted to a new and valuable business asset class, and as AI is increasingly used in business operations, the use of AI has created hidden data and IP risks. These risks must be identified and then measures must be taken to protect against both a loss of rights and an infringement of […]


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Author: William A. Tanenbaum

The Art of Lean Governance: Addressing the Elephant in the Room
Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time. However, these same spreadsheets represent a significant control problem exposing […]


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Author: Steve Zagoudis

The Book Look: Data Privacy Across Borders
I never realized how complex data privacy rules can be for multinational companies until I read “Data Privacy Across Borders” by Lambert Hogenhout and Amanda Wang. This book not only goes into detail on the privacy regulations from many countries, but it also covers the importance of a global data privacy strategy and the steps […]


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Author: Steve Hoberman

All in the Data: The Search for Intelligent Life in Your Organization
An invisible, yet universal, force exists that is shaping the very fabric of data-driven decision-making, data practices, and operational data management functionality. This force is “informal governance,” an astral influence orchestrating the celestial bodies of an organization. Acknowledging the existence of this informal governance marks the launch of a profound journey — a quest for […]


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Author: Robert S. Seiner

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