Data Digest
Blog
Introducing the Alation Data Products Marketplace: Trusted, High-Impact Data at Speed
Modern organizations face a persistent challenge: balancing rapid insights with the need for trust, security, and compliance. Business leaders need fast access to data, but centralized data teams often become bottlenecks, delaying decision-making. Conversely, decentralized teams promote agility but can introduce inconsistencies in quality and governance. This tension, known as the "Speed vs. Trust Conflict," prevents organizations from fully harnessing their data.
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Blog
Announcing Alation Data Quality: Restoring Trust in Your Data
Today, quality data can often spell the difference between business success and failure. In fact, Gartner projects that poor data quality costs the average business about $12.9 million each year. Small wonder, as poor data quality leads to flawed AI models, operational errors, and costly decisions – creating distrust between data producers and consumers. This lack of trust can severely hinder an organization's ability to make informed decisions and achieve desired outcomes.
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Reinventing the Role of Data Catalogs and Governance in the Era of Agents
When we started Alation in 2012, our mission was clear: to help organizations navigate the complexity of data. At the time, data was exploding in volume, yet there was no easy way for businesses to find, trust, and use it effectively. So, we pioneered the modern data catalog, introducing a solution that empowered data teams and made self-service analytics possible. Since then, a lot has changed.
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Blog
Introducing the Alation Data Products Marketplace: Trusted, High-Impact Data at Speed
Modern organizations face a persistent challenge: balancing rapid insights with the need for trust, security, and compliance. Business leaders need fast access to data, but centralized data teams often become bottlenecks, delaying decision-making. Conversely, decentralized teams promote agility but can introduce inconsistencies in quality and governance. This tension, known as the "Speed vs. Trust Conflict," prevents organizations from fully harnessing their data.
Read now
Blog
Announcing Alation Data Quality: Restoring Trust in Your Data
Today, quality data can often spell the difference between business success and failure. In fact, Gartner projects that poor data quality costs the average business about $12.9 million each year. Small wonder, as poor data quality leads to flawed AI models, operational errors, and costly decisions – creating distrust between data producers and consumers. This lack of trust can severely hinder an organization's ability to make informed decisions and achieve desired outcomes.
Read now
Blog
Five Common Mistakes When Implementing Data Products (and How to Avoid Them)
If you work in data, you've likely encountered the term "data products." Whether you're just starting to explore the concept or already deep into implementation, understanding both the benefits and challenges of data products is essential. When done right, they enhance data accessibility, drive business value, and foster innovation. However, common pitfalls can slow progress and create skepticism about the effectiveness of data products.
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Are AI Agents the Future of Data Intelligence?
The way we understand and use data is on the brink of transformation. In fact, AI agents are poised to redefine data – and data intelligence – as we know it.
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Blog
Why Cloud Data Governance is Critical in 2025
The rapid adoption of cloud environments has been fueled by the promise of cost savings, scalability, and the ability to share data globally. As organizations embrace the cloud, effective data governance has emerged as a critical component to ensure that data remains high-quality, secure, and compliant.
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Blog
What Is a Data Product Manager?
The explosion of data has reshaped how organizations operate. With data now a critical strategic asset, companies are moving away from traditional data management approaches and embracing data products—structured, reusable, and high-quality data assets designed for specific business purposes.
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Blog
Critical Data Elements Explained: Defining, Governing, and Automating CDEs
Organizations are awash in data, but not all data is equally important. Understanding and managing your most vital bits of information is critical to success.
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Blog
Is Your Data Operating Model Broken?
In today’s fast-moving business world, the ability to act on data quickly is the difference between capitalizing on an opportunity and missing it altogether. Yet data teams, already overwhelmed by a flood of business requests, find themselves stuck in bottlenecks—too slow to deliver the insights decision-makers need. As demand for data grows, the traditional operating model—where data teams act as gatekeepers, controlling access and enforcing governance—can no longer keep up.
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