Data Governance

Data Governance

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The AI Accountability Model: Why Explainability Alone Is Not Enough and What Ownership at Decision Time Really Means

A vision from Nicolas, Chief Product Officer at DataGalaxy, on why technical explainability has become a comfortable illusion and how to build an accountability framework that actually keeps pace with AI. For the past few years, the conversation about responsible AI has revolved around explainability. Can the model tell us why it made a decision? […]
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Solvency II compliance in 2026

Solvency II in 2026: a data challenge before anything else In 2026, Solvency II compliance is no longer just a regulatory exercise. It is a data challenge at scale. With the rollout of the 2025-2 directive, insurance and mutual organizations are operating under stricter supervision, expanded reporting requirements, and increased focus on long-term investments and […]
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GDPR compliance in 2026: why most companies still fail (and how to fix it)

In 2026, GDPR compliance is no longer a legal checkbox. It is a baseline requirement for operating in Europe. Regulatory authorities, from CNIL in France to Irish and European watchdogs, have significantly increased both the frequency and depth of their audits. What has changed is not just enforcement, but expectations. Organizations are now required to […]
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Implementing effective data governance in 8 easy steps

Today, organizations recognize the critical role of data governance in managing and leveraging their data effectively. Implementing data governance is essential to ensure data quality, regulatory compliance, and data-driven decision-making. By establishing a solid data governance framework, organizations can unlock the full potential of their data assets and drive business success. This article outlines eight crucial steps to […]
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AI and Traditional Data Practices in 2026: What Still Works, What Doesn’t, and What Leaders Are Doing About It

A conversation with Joe Reis, author and host of The Joe Reis Show, on why the unsexy fundamentals of data management have become the most strategic investment leaders can make in 2026. For the past two years, every board meeting started with the same question: what’s our AI strategy. Decks were built. Pilots were funded. […]
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Data governance in 2026: Benefits, business alignment, and essential need

In a world where data has become more vital than ever, understanding how to effectively manage and utilize this resource is essential. One approach that continues to gain attention is data governance. The benefits of data governance can impact an organization at multiple levels by driving better decision-making, improving operational efficiency, and fostering regulatory compliance. TL;DR […]
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What is data lineage? Definition, types, and examples

We’ve all been there. You’re standing by the office coffee machine, debating a data glitch with a colleague, and someone throws out the term data lineage. Suddenly, the conversation descends into a confusing mix of technical jargon and blank stares. It’s completely understandable. Data lineage has evolved rapidly over the last few years. It is […]
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The top 8 best practices for successful data governance implementation

Data may be the fuel of modern business, but without governance, it can just as easily create chaos as it can create value. Data governance is the framework that ensures every piece of information in your organization is accurate, secure, accessible, and trusted—the invisible operating system that keeps analytics, AI initiatives, and everyday decision-making on […]
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Why is data governance important in an AI-first world?

Data governance isn’t new. But in an AI-fueled, risk-heavy, insight-obsessed world, it’s never mattered more. Today, data isn’t just a byproduct of doing business: it is the business. It powers AI models, shapes customer experiences, drives strategy, and fuels growth. But without a dynamic data governance program? Good luck. Inconsistent formats. Unknown sources. Conflicting definitions. […]
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2025’s top 10 data governance best practices for modern data teams

The pressure on your data teams has never been greater. Data volumes are multiplying. AI tools and platforms are proliferating. Every decision, insight, and risk now traces back to one critical question: Can we trust our data? As the backbone of reliable, scalable, and AI-ready operations, data governance’s moment has arrived once again. With this in […]
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Data governance & observability: 3 steps to combined value

Data governance and data observability are interdependent. While governance establishes the rules and standards for data management, data observability ensures those rules are being followed in real-time. Together, they create a feedback loop that reinforces data trust and AI readiness, a foundation that starts with a solid AI governance framework. This article will discuss the […]
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Data products: Define, build, and deliver real value

According to Gartner, 50% of Chief Data and Analytics Officers (CDAOs) say they’ve already deployed data products. But the real question is: what a data product is, and how do you build one that delivers tangible value? In this blog, we’ll explore how to define, design, and deliver data products that go beyond the hype […]