You know which data matters most. So why does governing it still feel impossible?

Alation data governance dashboard showing Customer Address details with risk assessment metrics and data quality scores.

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Introducing Alation CDE Manager: Stop Drowning in Data Governance Busywork

When two major Australian superannuation funds merged to form Aware Super, the newly combined organization faced a challenge familiar to many enterprises: strong governance policies gathering dust while disparate systems and definitions created daily friction across the business.

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How Aware Super Operationalized Critical Data Elements: A Practical Blueprint

The enterprise data landscape is undergoing a seismic shift. As artificial intelligence transforms how organizations consume and produce information, data teams face mounting pressure to deliver measurable business value rather than simply cataloging assets. 

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The Future of Data Intelligence: Insights from revAlation to You 

DataOps is a collaborative data management methodology that applies DevOps, Agile, and Lean principles to the entire data lifecycle. 

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8 Best DataOps Tools for Pipeline Governance and Reliability

Enterprises face relentless data challenges. For instance, their data often sprawls across dozens of systems—from CRMs and ERPs to data lakes and spreadsheets. This makes it difficult to trace where information comes from, how it changes over time, and whether it’s trustworthy.

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Top 5 Data Mapping Tools: Comparison of Key Features for 2026

In May 2023, Meta (then Facebook) faced the largest General Data Protection Regulation (GDPR) fine in history: €1.2 billion for unlawful data transfers. By January 2025, cumulative GDPR fines reached ≈ €5.88 billion across more than 2,245 cases.

integrated and compliant data flows Alation

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How To Build Integrated Data Flows With Compliance Built-In

The enterprise data landscape is undergoing a fundamental transformation. As AI becomes central to business operations, the role of data management is evolving from cataloging and governance to data products and agents —where metadata, context, and semantic understanding become the foundation for accurate AI outputs.

Snowflake Intelligence meets Alation Intelligence

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How Alation's Agentic Knowledge Layer Makes Snowflake Intelligence More Accurate

Data is now the foundation of every decision, transaction, and enterprise AI initiative — yet only when that data is trustworthy. According to Gartner, organizations lose an average of $12.9 million annually due to poor data quality. And as companies move decades beyond analytics into full-scale AI and generative models, the stakes for high-quality data only grow. A recent McKinsey report shows that firms with advanced data and analytics capabilities grow faster and drive higher margins. 

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Data Quality Monitoring: Types, Implementation Tips, and Key Checks for Accuracy

For organizations aiming to surge ahead in an AI-driven economy, the modern data stack is no longer optional—it’s foundational. Whether you’re a data leader evaluating infrastructure or a business executive asking how to accelerate AI initiatives, this guide offers a clear, strategic explanation of the modern data stack in 2026 and beyond.

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The Modern Data Stack Explained: What to Know in 2026

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 Senior Product Marketing Manager

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Introducing Alation CDE Manager: Stop Drowning in Data Governance Busywork

Alation Acquires Numbers Station: Enabling AI to Understand Structured Data at Scale

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