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May 1 2024
Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022. GenAI has brought hope and promise for those who have the creativity and innovation to dream big, and many have formulated impressive and pioneering […]


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Author: Allison Connelly

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May 1 2024
Data Speaks for Itself: Is Metadata Data?
Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title? The reason I ask it is because we seem to think about and manage metadata as somehow different than “normal data” such as business operations […]


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Author: Dr. John Talburt

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May 1 2024
New Gartner Category Impacts Data Governance Professionals
With the latest SEC developments lighting a fire under the feet of companies and their executives, data governance is increasingly a front-line imperative. The shift is dramatic, with firms now mandated to report material cybersecurity incidents promptly, a move that ties the knot even tighter between cybersecurity and data governance. As highlighted in the “Data […]


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Author: Myles Suer

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Apr 17 2024
Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal
The use of data worldwide for business and recreation has exploded in the last decade, with an estimated 328.77 million terabytes of data created every single day globally. In 2024, experts predict that nearly 120 zettabytes of new data will be created. All of this data creation has also created a substantial storage problem for […]


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Author: Ainsley Lawrence

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Apr 17 2024
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

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Apr 17 2024
Data Governance Made Simple
Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used. “Data architecture,” “data integration,” and even terms […]


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Author: William Burkett

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Apr 17 2024
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

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Apr 3 2024
The End of Agile – Part 2 (Critiques of Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]


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Author: Larry Burns

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Apr 3 2024
Data Governance Gets a New Impetus
Data governance has often been met with furrowed brows among CIOs — sometimes seen as the broccoli of the IT dinner plate: undoubtedly good for you, but not always eagerly consumed. CIOs often bore the brunt from organizations that were forced to do top-down data governance. With this said, defensive data governance has been a […]


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Author: Myles Suer

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Apr 3 2024
All in the Data: A Steward in Need Is a Steward in Deed
You’ve probably heard the expression, “A friend in need is a friend indeed.” For this column, I am going to play with that expression to make a point. Instead of a friend, I will refer to friends as data stewards. Instead of indeed (meaning certainly), I am going to insert a space in the word […]


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Author: Robert S. Seiner

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Apr 3 2024
The Importance of Data Due Diligence
Acquiring an existing business can be an exceptional way to make your entrepreneurial dreams come to life — or even diversify your investment portfolio. But, unless you do your research well, you’re opening yourself up to a lot of unnecessary risk. The process of due diligence involves the appraisal and assessment of a potential investment, […]


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Author: Sarah Kaminski

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Mar 20 2024
Creative Ways to Surf Your Data Using Virtual and Augmented Reality
Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two […]


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Author: Mark Horseman

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Mar 20 2024
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

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Mar 20 2024
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

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Mar 6 2024
Getting the BELT: Empowering Executive Leadership in Data Governance
The expression “Getting the Belt” has several meanings. This phrase most commonly refers to a form of corporal punishment where a belt is used by an authority figure to spank or hit someone as a punitive measure. This form of discipline is now, thankfully, regarded as inappropriate and harmful. Additional meanings signify winning a championship […]


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Author: Robert S. Seiner

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Mar 6 2024
Explaining the Why Behind Data Quality Dimensions
Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a data quality program resides in the ability to take action to improve data to make it more correct and therefore more valuable. The shorter the amount of time between the discovery of the data quality […]


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Author: Allison Connelly

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Mar 6 2024
The Importance of a Federated Data Stewardship Approach
In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end of the spectrum, a rigid command-and-control approach stifles innovation and agility, turning data management into a bottleneck rather than a boon. On the other, a laissez-faire, free-for-all strategy risks data chaos, compromising security, quality, and […]


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Author: Myles Suer

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Mar 6 2024
5 Best Practices for Data Management in the Cloud
Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals. They focus on data security, compliance, and scalability while leveraging cloud technologies to enhance data accessibility, analysis, […]


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Author: Gilad David Maayan

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Feb 21 2024
Documenting Critical Data Elements
Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in your organization that has a high impact on your organization’s ability to execute its business strategy. An example is Customer Email […]


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Author: Mark Horseman

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Feb 21 2024
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

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Feb 21 2024
Automating Privacy and Compliance
In the digital age, the deluge of data is relentless. This burgeoning data realm, bolstered by the dawn of generative AI, demands meticulous choreography to remain coherent and valuable. As the complexity of ecosystems multiplies, so does the imperative to tether this wealth of information to the bedrock of privacy and protection. Michelle Dennedy, Jonathan […]


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Author: Myles Suer

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Feb 21 2024
AI Could Save Your Data Governance Program, but It’s Unlikely
In the 1980s, there was a flurry of movies about robots coming to imprison or terrorize humanity. Forty years later, almost every business and technology publication seems to have reimagined the army of robots and artificial intelligence as trading their quest for world domination for the exciting world of business processing. It’s unlikely that most […]


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Author: Carmen Robinson

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Feb 21 2024
Explainable AI: 5 Open-Source Tools You Should Know
Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them. Explainable AI tools are software and systems that provide transparency […]


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Author: Gilad David Maayan

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Feb 7 2024
Stop Complaining About Your Data – And Do Something About It
Organizations are drowning in a sea of data, facing challenges that range from inconsistent quality to inefficient and ineffective management. It’s easy to complain about the state of your data, but a more productive tactic involves taking actionable steps to address these issues. Enter Non-Invasive Data Governance (NIDG) — a methodology that empowers organizations to […]


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Author: Robert S. Seiner

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Feb 7 2024
The Modern Data Stack: Why It Should Matter to Data Practitioners
In the rapidly evolving data landscape, data practitioners face a plethora of concepts and architectures. Data mesh argues for a decentralized approach to data and for data to be delivered as curated, reusable data products under the ownership of business domains. Meanwhile, according to the authors of “Rewired,” data fabric offers “the promise of greatly […]


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Author: Myles Suer

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