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Mar 21 2025

Data Sips: Interview with Shannon Kempe

Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at […]

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DGIQ + AIGov Conference: Takeaways and Trending Topics in Data Quality

In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance. In the first blog post of […]

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Unlocking AI Success: Creating a Winning Data Strategy

AI has the power to transform industries by analyzing massive datasets and automating complex processes. However, AI’s effectiveness is directly tied to the integrity of the data fueling it. Data governance is required to drive accountability around privacy and ethics, while poor quality data results in inaccurate AI outcomes, leading to customer dissatisfaction, delayed decisions, […]

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How IT Leaders Can Fight Back Against Vendor Lock-In

Enterprise IT leaders are experiencing growing frustration with software vendors who wield excessive control over their technology roadmaps. From restrictive licensing agreements to forced upgrades and shifting support models, IT departments often find themselves at the mercy of vendors rather than in control of their own digital strategies. With so-called vendor lock-in on the rise, […]

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The Biggest Data Backup Disasters of 2024 – and How to Avoid Them in 2025

For businesses everywhere, 2024 was a wake-up call – and not the gentle kind. Major data breaches and catastrophic outages made headlines, reminding us all that data backup isn’t a “nice-to-have” but rather a mission-critical strategy. Let’s recap the year: These high-profile failures weren’t just cautionary tales; they were full-blown cautionary sagas. The key takeaway? […]

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Data Quality Metrics Best Practices

The amount of data we deal with has increased rapidly (close to 50TB, even for a small company), whereas 75% of leaders don’t trust their data for business decision-making. Though these are two different stats, the common denominator playing a role could be data quality. With new data flowing from almost every direction, there must be a yardstick or […]

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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

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Mar 5 2025

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. […]

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, […]

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 […]

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 […]

How Data Modeling Made Me a Better Engineer

My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in isolation of other engineering skills, is a less-than-flattering job title. To practical engineers, data modeling conjures images of […]

Living the Ungoverned Life

Organizations often assume they have data governance under control, but in reality, many are simply reacting to data chaos rather than actively managing it. This isn’t due to negligence or a lack of concern — rather, it’s because they don’t recognize that governance is already happening, albeit informally and inconsistently. Every day, employees make critical […]

The Serviceberry Mindset: How Nature’s Gift Economy Can Reshape Data Governance

The Death of the Data Silo Is Not the End of the Problem For years, we’ve heard that breaking down data silos is the holy grail of business transformation. We’ve been told that better pipelines, integrated analytics, and AI-driven decision-making will finally unlock the full potential of enterprise data. But here’s the question no one […]

Reimagining Data Preparation for High-Impact Decision-Making

Data often arrives from multiple sources in inconsistent forms, including duplicate entries from CRM systems, incomplete spreadsheet records, and mismatched naming conventions across databases. These issues slow analysis pipelines and demand time-consuming cleanup. Organizations now use machine learning-assisted data preparation to address these challenges, which automatically standardizes formats, detects anomalies, and applies business rules. Data […]

The Art of Lean Governance: Moving Beyond Governance Buzzwords and Bling

This column will expand on a Systems Thinking approach to Data Governance and focus on process control. The vendors of myriad governance tools focus on metadata, dictionaries, and quality metrics. Their marketing is a sea of buzzwords and bling — bells and whistles. Yet, where is the evidence of adding actual business value, defined as […]

Celebrating a Year of Excellence: EDM Council’s Data Excellence Program

The EDM Council’s Data Excellence Program has reached a significant milestone: its first anniversary. The program is proving to be a game-changer in the data management landscape for promoting commitment to best practices and data excellence at the organizational level. Designed to recognize and support organizations dedicated to elevating their data management capabilities, the program […]

What Are the Benefits of a Citizen Data Scientist Initiative?

The importance of Citizen Data Scientists has become a focus for the wise business executive and manager. Understanding Citizen Data Scientists and how they can supplement analytics and help the organization to be more successful can be a real competitive advantage for a business, whether that business is in a local market, a global industry, […]

Empowering Data Stewards: Building a Forum That Drives Value

Data steward forums are catalysts for organizational data wisdom and cultural transformation. When executed thoughtfully, they become your strongest asset in building a data-driven organization. However, their success hangs delicately on implementation — the difference between fostering lasting engagement and watching enthusiasm fade lies in the fundamental framework you establish from day one. 1. Building […]

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Author: Subasini Periyakaruppan

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Feb 5 2025

The State of Data Governance

In 2024, our research at Dresner Advisory Services revealed that only 32% of organizations have a formal data governance organization in place. This statistic highlights a critical gap, especially as machine learning (ML) and artificial intelligence (AI) are increasingly integrated into operations, expanding business reliance on data and analytic content. Despite the growing importance of […]

Data Speaks for Itself: Data Quality Management in the Age of Language Models

Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, “The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality,” and my November 2024 column, “Data Validation, the Data Accuracy Imposter or Assistant?” addressed some of the […]

A Step Ahead: IoT Computing – Where Computing Occurs

There is always the need for computing to be more available and distributed, especially given the data volume generated from IoT. On the surface, it makes sense that most proponents of data processing have been advocating for cloud computing, to always send IoT data to the cloud. With IoT and cloud computing (later referred to […]

Empowering Organizations Through Data Literacy, Governance, and Business Literacy

In my journey as a data management professional, I’ve come to believe that the road to becoming a truly data-centric organization is paved with more than just tools and policies — it’s about creating a culture where data literacy and business literacy thrive. Data governance, long regarded as a compliance-driven function, is now the backbone […]

Identifying and Addressing Data Overload

Increased data generation requires modern businesses to manage vast volumes of information. All this data holds immense potential for insights and informed decision-making, but its value depends on effective utilization. Without the right tools, frameworks, and strategies, even established companies risk being overwhelmed by data overload. Let’s take a closer look at data overload and […]

Crossing the Data Divide: A Case for Data Leaders Embracing Process Modeling

In the early days of enterprise data and business systems, process modeling and data modeling went hand-in-hand. It was standard practice to design processes and data structures simultaneously, ensuring a seamless alignment between how work was done and how information was captured, stored, and used. Tools like flowcharts, data flow diagrams, and entity-relationship diagrams were […]

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