With so many data management and governance tools on the market, two platforms consistently rise to the top: Atlan and DataGalaxy.  In this article, we’ll discuss why more and more organizations are making the switch from Atlan to Datagalaxy, including sharing what the two platforms offer, and which is truly the more powerful, business-first data […]

With great power comes even greater risk. AI is being adopted at a blistering scale and pace. However, the unintended downside is that it’s moving faster than policy, tooling, or training can keep up. It’s time for a dedicated AI governance framework. One that’s squarely rooted in your business realities, expands with your ambitions, and […]

What’s the difference between AI outcomes you can explain and those you can’t? Risk.  From skewed insights to biased outputs, AI is a business liability when left unchecked. So, what does it take to keep AI on track? Rigorous monitoring and hands-on control. Let’s talk AI risk management: How to scrutinize AI in production, where […]

AI is no longer a futuristic concept—it’s embedded in how modern organizations operate, make decisions, and deliver value.  Without the right checks in place, AI can introduce real risks, including bias, lack of transparency, and regulatory non-compliance.  Keep reading to learn more about AI governance – the strategic layer that ensures AI isn’t just powerful, […]

Did you know that data governance and data observability are interdependent? While data governance establishes the rules and standards for data management, data observability ensures those rules are followed in real-time. Understanding how data governance and observability work together is key to creating a feedback loop that reinforces data trust and AI readiness. Data governance […]

To make a difference, businesses must go a step further. They must govern the value derived from data. This concept, known as value governance, is emerging as a pivotal framework for organizations seeking to align data, analytics, and AI investments directly with business outcomes. In this article, we’ll explain what value governance really means, how […]

Many enterprises rely on ServiceNow to manage workflows across IT, risk, compliance, and operations. It is the engine behind tickets, approvals, controls, and enterprise processes. But when it comes to structuring enterprise data governance, ServiceNow was never designed to define domains, align ownership, or connect data initiatives to business value. It executes processes. It does […]

Learn how DataGalaxy introduces the first-ever value governance platform to bridge the gap between data assets and business value.

Artificial intelligence is changing everything — from how we serve customers to how we make business decisions. But let’s be clear: AI doesn’t magically work on its own. Behind every smart model or automation is something far less glamorous, but absolutely essential: Data readiness. If your data isn’t accurate, accessible, and understood, even the most […]

When it comes to data governance and data quality, many companies assume that an all-in-one solution is ideal. After all, having an integrated data quality tool within your data governance platform sounds convenient, right? In reality, choosing a flexible data governance solution  – One that can connect seamlessly to in-house or best-in-class data quality providers  […]

Artificial intelligence is becoming increasingly crucial for businesses. However, to fully leverage AI’s potential, organizations must ensure data readiness and data trust. This involves implementing robust data governance and data observability strategies. This article explores how these strategies can pave the way for AI readiness, drawing insights from a recent presentation on the topic. Data governance vs. […]

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 […]

According to Gartner, more than 84% of organizations say less than half of their employees understand how to use the data tools provided. What happens when the people using those tools aren’t confident or equipped to work with data? Teams get underused technology, unrealized potential, and decisions made on instinct rather than insight. Thankfully, data […]

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 […]

Your business runs on data. But how reliable is that data? If you’re making decisions based on questionable quality data, you should question the results. The risks are even higher for AI-first companies. AI doesn’t fix bad data; it recycles it. You need a data quality management (DQM) process to deliver trusted, business-ready data at […]

Who ensures your AI models are trained on accurate data? Who monitors compliance risks to ensure they are mitigated before they become issues? Who ensures scattered information is transformed into trusted, business-ready assets? Data stewards. These often-overlooked data governance champions are crucial in keeping your organization’s most valuable resource accurate, secure, and ready for action. […]

According to Melody Chien, Sr. Research Director at Gartner, organizations are undergoing a significant shift in how they approach data and analytics – And specifically AI readiness. The future is moving toward a unified data management platform, where essential technologies converge to create a more streamlined, intelligent business ecosystem. As data volumes increase yearly, organizations […]

Cloud data platforms, analytics tools, and machine learning models have all proven to be invaluable for deriving insights from data. However, one barrier continues to limit their ROI: Language – Not the programming kind, but the human kind.Despite years of digital transformation, many organizations still struggle to make analytics accessible and actionable across their workforce. […]

As data ecosystems grow more complex, ensuring the health and quality of that data becomes a serious challenge. Much like observability in software engineering, data observability offers a window into the health of your data systems. This enables teams to proactively monitor, detect, and resolve issues before they snowball. This blog post will explore data […]

Each year, the Gartner Data & Analytics Summit in Orlando brings together industry leaders, analysts, and innovators to discuss the latest trends and challenges shaping the data, analytics, and AI landscape. Keep reading to dive into team DataGalaxy’s key learnings from the summit, focusing on the future of the data governance market and the insights […]

CDOs and AI leaders face big risks when business opportunities get derailed by a lack of data trust due to low levels of data governance and observability. Today’s organizations are striving to boost workforce data literacy by delivering clean, reliable data, but scattered IT architectures often make accessibility and usability a challenge. That’s where DataGalaxy […]

When it comes to data governance and data quality, many companies assume that an all-in-one solution is ideal. After all, having an integrated data quality tool within your data governance platform sounds convenient, right? In reality, choosing a flexible data governance solution  – One that can connect seamlessly to in-house or best-in-class data quality providers  […]

For many organizations, “Becoming data-driven” is a long-term goal with no real path set to achieve it. Often, even starting the journey of organizational data management can be a daunting task that doesn’t offer a one-size-fits-all first step. Implementing the roles of Chief Data Offers (CDOs) and Chief Data Analytics Officers (CDAOs) is essential for accelerating organizational change toward a data-centric culture working to achieve data-driven business goals.

With advancements in data-related technologies like AI, organizations with global operations are consuming and producing more data than ever before. Industry reports from analysts like Gartner, Forrester, and IDC highlight a gap in data and AI governance technologies that address the unique challenges posed by language and cultural barriers. Many organizations with global operations report […]

More and more, data and analytics leaders around the world are seeking ways to transform data access and reduce the technical skills barrier using generative AI.

Data should empower teams, not overwhelm them. Yet, too often, systems force users to adapt to the data instead of tailoring data to the user. This February, DataGalaxy hosted a tell-all webinar for data leaders learning to work with AI tools. Together, AI expert and Product Manager Kseniia Ilichenko and data governance leader Laurent Dresse […]

AI has rewritten the rules of data governance. AI-powered platforms don’t just process data – They reshape how it’s stored, shared, and protected. But as AI accelerates decision-making, it also amplifies risks, including biases in outcomes, security vulnerabilities, and regulatory blind spots. To build trust in AI, it’s time to rethink how we govern and […]

There is arguably nothing more valuable to your company and central to its success than data. However, diving into the vast world of data and data management doesn’t have to be a daunting task, even for non-technical data users. Anyone can increase their data knowledge by simply taking the time to understand the ins and outs of data terminology and management techniques.

The Chief Data Officer (CDO) role has evolved dramatically in recent years, shifting from a compliance-focused function to a strategic leadership role that drives business growth and innovation.  No longer just the guardian of data governance, today’s CDO is expected to unlock the full potential of data as a business asset, enabling better decision-making, enhancing […]

AI and AI-ready data are changing data management. Have you adjusted your strategy to keep up? To maximize the efficacy of AI-powered tools, you need a data management strategy that focuses on more than pipelines and storage. You must position AI readiness and automation at the center of your design. What is a data management […]