The evolution of the data landscape has been relentless: data warehouses, big data, data lakes, data fabrics, and now data mesh. Each wave promised better scalability, faster insights, and a competitive advantage. Yet technology alone does not create value. Organizations that truly succeed with data & AI align architecture, governance, and business strategy, starting with […]
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. […]
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 […]
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 […]
You’ve got the data. You’ve got the tools. But do you have a data quality framework that’s ready for what’s next? As your company grows and systems multiply, even the strongest frameworks can become strained. However, that doesn’t mean you should sacrifice quality for speed or scale. You need a data quality framework designed to […]
More than ever before, data cataloging has become non-negotiable. Businesses need fast, reliable access to trusted data, and that means having the right cataloging platform in place. While Atlan is a popular choice, it’s far from the only option. In fact, many organizations are now evaluating other Atlan competitors that better fit their needs for […]
Data quality is an essential cornerstone of enterprise success. With the proliferation of AI-driven analytics, real-time decision-making, and complex data ecosystems, ensuring the accuracy, consistency, and reliability of data is more critical than ever. Over time, data quality tools have evolved to meet these rising demands by offering advanced features that cater to the needs […]
AI is 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. It needs to position AI readiness and automation at the center of your design. What is a data management strategy? Data […]
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 […]
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 […]
Metadata is the key to managing data – But what’s the key to metadata management? Despite its importance, many organizations struggle with metadata management. The most common culprits are lackluster standards, incomplete lineage, and tools that make metadata management way harder than it should be. The good news? These problems have a solution. What is […]
Let’s face it – Ensuring high-quality data is essential for maintaining a competitive edge. As organizations expand and gather data from increasing sources, the challenges of ensuring data accuracy, consistency, and reliability grow exponentially. This is where data lineage tools play a pivotal role: These tools extend beyond traditional metadata management by providing comprehensive insights […]
