Orlando, Fla., March 9-11, 2026 – DataGalaxy, a leading provider of data and AI value governance solutions, today announced its expanded positioning to coincide with the Gartner Data & Analytics Summit 2026 in Orlando. As organizations accelerate AI initiatives, many struggle to connect data assets and use cases to business outcomes with clarity, alignment, and trust. […]

Your AI assistant doesn’t know your data (but it should) You’re working with Claude or another AI assistant on a customer analysis. You ask it to find the right data tables. It suggests tables, sounds confident, and may even generate SQL. The problem: the AI doesn’t know that half those tables are deprecated. It doesn’t […]

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 […]

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. […]

As the data governance landscape evolves, organizations often compare DataGalaxy with newer, AI-driven tools like Coalesce. While both aim to simplify data discovery, they serve very different purposes. Quick Verdict: DataGalaxy vs Coalesce Coalesce is designed as a lightweight, AI-assisted documentation tool. DataGalaxy is a full data governance platform built to support enterprise-scale data and […]

When evaluating modern data platforms, DataGalaxy and Atlan are often compared for their cloud-first approach and strong user experience. Both platforms position themselves as modern alternatives to legacy tools. However, they differ significantly in governance depth, business alignment, and scalability. Quick Verdict: DataGalaxy vs Atlan Atlan is a strong contender for technical teams looking for […]

Choosing between DataGalaxy and Alation is a common step for organizations looking to scale their data governance strategy. While Alation helped define the modern data catalog category, the expectations have changed. Today, data leaders are not just looking for documentation tools. They need platforms that drive adoption, connect data to business use cases, and deliver […]

Choosing between DataGalaxy and Collibra is not just a tooling decision. It is a strategic call on how your organization will scale data trust, adoption, and AI readiness. This comparison goes beyond the traditional “data catalog vs data catalog” angle. It highlights a key shift in the market: moving from static data documentation to active […]

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 […]

Acting as a comprehensive inventory for an organization’s data assets, data catalogs facilitate easy access, understanding, and governance of large datasets. This blog post will delve into the inner workings of data catalogs and explore why they are crucial for modern, data-driven businesses. TL;DR summary A data catalog acts as the single source of truth […]

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 […]

Smarter documentation. Less manual work. Same trusted governance. Data catalogs are designed to bring clarity, but in practice, they often create clutter instead. The fields are available and the structure exists, but when users try to understand what a dataset means, where it comes from, or how it should be used, they are often faced […]

More than a buzzword, data culture is the shared mindset and operating system that determines whether your organization treats data as a strategic asset or an untapped byproduct. As data & AI products become central to how companies create value, the need for a mature, governed, and collaborative data culture has never been greater. Summary […]

Did you know that Gartner estimates that by 2026, 90% of current analytics content consumers will become content creators enabled by AI? Leading analytics, research, and expert guidance firm, Gartner, recently shared their thoughts on the future of the data and analytics industry, including understanding how to work with emerging AI tools while ensuring high-quality data […]

Data quality and data governance go hand-in-hand, and it’s virtually impossible to have one without the other. So, how does data governance impact data quality, and vice versa? Let’s take a look. TL;DR Data governance and data quality are two sides of the same coin. Governance defines who is responsible for data, how it is managed, and under […]

Enterprises expect more than simply knowing what data assets exist. Today, they demand clear insight into how those assets are being used and what value they deliver. Therefore, organisations that treat data merely as a technical asset risk leaving business value on the table. Summary Data is no longer just a technical enabler. For forward-looking […]

Today’s data catalog is an advanced tool for organizing and managing an organization’s data assets. This data governance tool typically includes various features and capabilities that help users locate and understand data. These tools include a search engine, metadata tags, data lineage tracking, and collaboration tools. It may also have other features, such as data governance tools and integrations […]

There’s a growing disconnect in many organizations: Governance is talked about as indispensable, yet it’s often treated as a checkbox.  Leaders are eager to adopt data and AI strategies, invest in platforms, and hire data governance officers—but often, implementation lags.  In this post, we explore Gartner’s finding that while nearly 89% of data and analytics […]

Organizations are dealing with more data than ever, and it’s scattered across cloud platforms, SaaS systems, pipelines, APIs, and legacy environments. The result? Massive complexity, duplicated effort, compliance risks, and a lack of shared understanding. TL;DR summary A modern data catalog is a centralized system that organizes, governs, and activates your organization’s data knowledge. It […]

In the age of big data, sound metadata and data management are essential for organizations. But what does metadata management exactly entail? This lack of data visibility creates costly consequences: users lose 30–40% of their time simply trying to find and identify useful information. The problem is no longer data scarcity, but the inability to understand, govern, and exploit […]

Most data catalogs stop at organization. The Marketplace goes further, turning certified data assets into visible, reusable products directly linked to the use cases they support. This is not just about access. It’s about alignment. Keep reading to learn how to make your data reusable, discoverable, and aligned with real business goals. Why does the […]

Data is more than a byproduct of operations. It is now the currency of competitiveness and a catalyst for innovation. The challenge, however, is not in collecting data but in cultivating the data maturity to manage, interpret, and transform it into actionable intelligence. A data maturity model is a strategic framework to assess an organization’s […]

Do you know the top three modern data observability solutions for modern data teams? Data observability solutions provide teams with real-time visibility into the health, quality, and lineage of their data, enabling them to catch issues before they break dashboards, degrade ML models, or mislead decision-makers. In this blog post, we’ll define what data observability […]

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 […]

Are you looking for a faster way to understand, trust, and use your data? Every organization aspires to make data truly self-service. However, without the right context, clarity, or confidence, users often fall back on old habits. These can include asking a colleague for help, copying an outdated report, or rebuilding a project from scratch. […]

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. […]

AI innovation must be matched by equally powerful governance frameworks. However, across many industries, governance is frequently perceived as a limitation rather than a catalyst for positive business outcomes.  Artificial intelligence isn’t just advancing. It’s multiplying in enterprise applications. In this article, we’ll explore two of the hottest trends in Gartner’s 2025 Hype Cycle: AI […]

If 2023 and 2024 were the years of AI experimentation, 2025 is the year of formal governance.  New regulatory milestones, fresh guidance from standards bodies, and maturing internal controls have made AI governance best practices a board-level priority. In the EU, the Artificial Intelligence Act began phasing in requirements earlier this year and added additional […]

Jira is everywhere in modern data teams. It powers agile delivery, manages backlogs, tracks bugs, and structures project execution. Many organizations also use it to manage data governance tasks, data quality issues, access requests, and analytics initiatives. But here is the problem: Jira is a task management platform. That is where DataGalaxy Portfolio changes the […]

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 […]