A data governance framework is the fastest way to turn costly, “dark” data into a governed asset. This guide shows best practices and real examples of how organizations reduce risk, cut waste, and deliver measurable ROI.
Most AI initiatives fail not because of technology, but because of poor data governance and this article shows leaders how to build a business-driven data governance strategy that turns AI investments into real, measurable value instead of sunk costs.
Data observability and data quality solve different risks, one protects the health of your data pipelines, the other the truth of your data, and only together can they make AI decisions reliable at scale.
A data governance policy is the critical foundation that turns chaotic data into trusted, high-quality assets. This guide shows you exactly how to build one that reduces risk, accelerates analytics and AI initiatives, and delivers measurable business impact.
This article shows how Collibra’s AI-powered Text2SQL bridges the gap between business and IT, enabling anyone to create custom data quality checks in plain language and turn unreliable data into a trusted, continuously monitored asset.
This article explains how a structured data cataloging process turns growing organizational complexity into a scalable advantage, providing a practical, phased blueprint to preserve data knowledge, improve productivity, and enable analytics and AI as your company scales.
This article explains the seven foundational pillars of data governance and shows how aligning stewardship, quality, security, architecture, analytics, and culture creates a durable strategy that delivers real business value rather than a box-ticking framework.
This article goes beyond role definitions to show how to formally empower Data Owners, Stewards, and Custodian, turning data governance from a side-of-desk initiative into an accountable, well-resourced system that actually drives trust, quality, and business outcomes.
This 2025 guide breaks down the best data quality tools, what to look for, and how to choose the right platform for your data ecosystem.
Unstructured data is exploding across clouds, drives, and inboxes. This article shows how automated discovery with Collibra and Ohalo turns hidden files into visible, governed, and compliant enterprise assets.
this article shows why automated data quality is the difference between a minor error and a business-ending disaster, and how to implement it in practice.
A practical, experience-driven Collibra implementation blueprint that cuts through theory and shows how enterprise data governance succeeds or fails in real life.
A global retailer transformed a fragmented, manual data-access experience into a unified, automated “one-stop shop” that streamlines how employees discover, evaluate, and request data.
A clear, practical introduction to how Collibra Data Governance works, what it enables inside large enterprises, and how real organizations use it to make data more trusted, compliant, and operational at scale.
Your organization’s most valuable data probably sits in on-premise systems. Meanwhile, your business teams need easier access and faster insights. How do you bridge that gap without putting your company…
Organizations rely on increasingly complex data ecosystems – and this means that understanding where their data comes from, how it moves, and how it changes along the way becomes crucial…
Managing and protecting sensitive data hidden in unstructured sources is a major challenge for financial institutions. Our client, a leading European bank, stored critical information in thousands of PDF contracts,…
When Collibra introduced a new licensing model, a global energy company faced rising platform costs due to an excessive number of Creator licenses. However, Creator users were deeply embedded in…
A definitive guide to Collibra Data Catalog that explains how it centralizes metadata, enriches business context, automates governance processes, and turns enterprise data into a trusted, governed, and discoverable strategic asset.
AI is now powering everything from customer service chatbots to advanced analytics in healthcare and financial services. But many organizations have already learned first-hand that setting policies around the responsible…
In today's data-driven landscape, organizations face a critical challenge: ensuring their data can be trusted and used safely every day. This challenge rests on two fundamental disciplines that are often…
In late 2023 and early 2024, automotive leaders Toyota and Honda initiated recalls affecting nearly two million vehicles. The problem wasn't a flaw in vehicle assembly but sensor hardware defects…
Imagine a loyal customer who just paid full price for a new winter coat. The next day, an email lands in their inbox: “Flash Sale! 25% off the coat you…
In the world of data, these checks are your first line of defense against common data quality issues. Costly business mistakes, skewed analytics, and failed AI projects often stem from…
Every year, companies lose an average of $14.2 million due to the impact of poor data quality, according to a study highlighted by Gartner. This isn't just a theoretical number;…
In the world of data governance, few titles carry as much weight and prestige as Collibra Ranger. At Murdio, we’re proud to have 14 certified Collibra Rangers – more than…
Who do you see when you think of a ranger? If it’s a keeper of a national park, you’re not far off when it comes to the world of data…
A data quality scorecard is a simple but powerful tool that acts as a report card for your data's health. It translates complex technical problems into a clear, actionable format…
Every flawed business decision, mis-targeted marketing campaign, and inaccurate financial forecast shares a common, often invisible, origin: a breakdown in data quality. This isn't just about minor typos; it's about…
Imagine your logistics team shipping thousands of dollars in products to outdated customer addresses, all due to a data entry error that occurred six months ago. Or picture your inventory…
You already know why data quality is critical. You've likely seen the impact of data quality issues firsthand and understand the importance of assessment and assurance. Now, you face the…
Data Managers understand better than anyone that data quality is not a project with a finish line—it is an ongoing discipline. A successful assessment may uncover root causes, provide a…
Data is the fuel of modern business, but if that fuel is contaminated, the engine will stall. Every day, organizations make high-stakes decisions based on data they assume is accurate.…
On September 23, 1999, a team of world-class engineers at NASA's Jet Propulsion Laboratory held their breath. Hundreds of millions of miles away, the Mars Climate Orbiter, a robotic space…
You already know your organization needs a data marketplace – but how do you convince the C-suite? We have years of experience doing that, so here are some helpful pointers…
The importance of data quality has never been more critical. In an economy fueled by data-driven decisions, analytics, and AI, the integrity of your information is not just an IT…
In July 2024, U.S. regulators fined Citigroup $136 million for failing to fix long-standing data governance and reporting issues. This penalty came on top of an earlier $400 million fine…
You launch your most anticipated marketing campaign of the year. The messaging is perfect, the creative is compelling, and the budget is approved. But weeks later, the results are bafflingly…
Imagine this: a promising e-commerce company launches its biggest marketing campaign of the year. The team has spent weeks crafting the perfect message, designing ads, and segmenting their audience for…
Approvals, escalations, certifications – there’s a Collibra workflow for that. But (not to sound too harsh) just because you can build a workflow doesn’t mean you’re doing it right. In…
Augmented data catalogs are next-generation tools that bridge the gap between human expertise and machine intelligence, combining human insight with AI-powered automation. Let’s take a closer look at what they…
The relationship between data lakes and data catalogs is a critical one; they often coexist within the same architecture but serve distinct purposes with different impacts on data management. They…
When the HR division of a global life sciences company set out to improve internal data access, they chose to build a Collibra-based data marketplace. The goal was to enable…
The time has come – you’re ready to build your data catalog. A big step towards data governance for your company. But how do you communicate the requirements for your…
If you’re looking for a new, rewarding caree path that involves data and a lot of dot-connecting, data governance might be just the direction for you. Here’s what starting out…
Data inventory and data catalog: at first glance, the two terms might seem interchangeable. After all, both deal with organizing and managing data assets. But actually, they serve distinct purposes…
If you’re planning to implement a data catalog, pricing is definitely on your mind as you research the available solutions. Here’s a handful of tips on what to look for…
At Murdio, we help companies get the most from their data ecosystems, and this topic comes up constantly – because it’s at the very core of what we do and…
Traditional data catalogs weren’t designed with machine learning in mind. They’re still valuable for organizing and discovering data, sure. But when it comes to fast-moving, highly collaborative machine learning workflows,…
Whether you’re setting up your first catalog or reassessing your current data management stack, here are some top data catalog tools on the market. That’s based on dozens of international…
You’ve probably heard the terms data catalog and data warehouse thrown around a lot in the data world, sometimes interchangeably. And we’re here to clarify the difference, because they’re not…
Large companies today deal with huge amounts of complex data. Getting value from this data is key, but big challenges often get in the way. Studies by IDC’s Information Worker…
Handling vast volumes of data has always been a challenge, but as businesses increasingly rely on data-driven decision-making, proper organization and management have become essential. Two key tools that support…
A data catalog on its own is not nearly enough for the data management needs of an enterprise (and you might already know that from our previous articles.) Although it…
It’s never too late to build a data catalog. If you’re planning data catalog implementations for your enterprise, here are some key steps to follow to make the process efficient…
When a leading global financial institution faced regulatory scrutiny over its fragmented AI and machine learning model management, they recognized the need for a centralized “golden source” to ensure transparency,…
Business glossaries and data catalogs are two vital tools for organizations aiming to manage their data effectively. While both contribute to data governance and accessibility, they serve distinct purposes. A…
So you’re going to build a data catalog (or maybe you already have one, but that’s just about it). What should you know to make the best use of it?…
Based on a recent webinar featuring Murdio co-founder Łukasz Banaszewski, this article explores how organizations can bring order to their data chaos and build a strong data governance strategy. With…
Data is a strategic asset for any business. At Murdio, we know that all to well, helping enterprises across the world govern and manage their data. But you don’t really…
A global energy company, a long-time Collibra customer, faced persistent challenges in its Collibra implementation. Despite years of effort, assembling a fully functional implementation team proved difficult. While they had…
Managing critical data across multiple applications and regulatory requirements is a challenge for any financial institution. For our client, a leading Swiss private bank, ensuring seamless data governance and compliance…
If you’re serious about proper data governance in your organization, you will need a data catalog at some point. Here’s what you should know about what a data catalog is…
Managing data across multiple business and reporting systems is a challenge for any large retailer operating in global markets. For our client, a major international retail chain, ensuring seamless data…
A leading international retail organization discovered that tracking complex data attributes across multiple systems was hindering its operational efficiency and strategic decision-making. This case study explores a transformative solution developed…
In today’s competitive retail landscape, effective data management is crucial for operational success and strategic decision-making. For a leading retail company in the DACH region, achieving this meant not only…
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