Data Digest
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Alation Launches Salesforce Connector to Enhance Data Trust
We are excited to announce a new strategic partnership with Salesforce. This partnership will bring data governance and deep insights around data lineage into Salesforce Data Cloud. With this bidirectional integration, Alation joins the Salesforce Data Governance alliance.
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How to Choose the Best Enterprise Data Catalog: Key Criteria Uncovered
It's analyst report season! In the next few months, analyst firms will provide guidance on how to approach the data catalog market and key criteria for choosing a data catalog. These reports can be helpful starting points. But they should be just that: a starting point. With over 12 years of experience and a customer base of nearly 600 enterprises, including 40 of the Fortune 100, we've developed a comprehensive understanding of what truly matters in a data catalog solution to deliver business success. Here are our key criteria uncovered:
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What Are AI Agents? Why Do They Need Trusted Data to Succeed?
AI agents are autonomous systems designed to perform tasks and make decisions by processing data and learning from their environments.
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The Data Scientist’s Guide to the Data Catalog in 2025
In today’s data-driven world, data scientists are rock stars as they shape the future and command top salaries. But even these heavy hitters have a common obstacle: finding and trusting the right data to do their jobs.
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Challenges and Concepts in Enterprise Knowledge Discovery
In today's data-driven enterprises, the quest for critical knowledge often feels like searching for a needle in a haystack. Employees routinely spend countless hours hunting for relevant data, resulting in a significant productivity drain. Modern organizations can ill afford this inefficiency.
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Data Quality Management for AI Success: Your 2025 Guide
Why is data quality important for businesses today?
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Unveiling Alation at Gartner D&A 2025: Your Roadmap to Data Products and AI Success
As the data and analytics landscape evolves, leaders face mounting pressures to deliver value, harness AI, and navigate complex data ecosystems. From March 3-5, 2025, at the Gaylord Palms Resort & Convention Center, the Gartner Data & Analytics Summit will unite data experts and business leaders to explore cutting-edge strategies to address these challenges. This year, Alation is bringing innovation to the forefront with an agenda packed with a range of opportunities to learn, engage, and connect—which we’ll preview in this blog.
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Data Catalogs vs Metadata Management: Key Differences?
We define a data catalog as “a repository of data assets with information about that data.” It is, literally, a catalog that users, analysts, data scientists, and others can browse to find, understand, evaluate fit for purpose, and access trusted data.
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The Evolution of Data Governance: Meaning and Modern Practices
Data governance has emerged as a critical practice for organizations seeking to effectively manage and derive value from their data assets. Information is a strategic resource for businesses today, and implementing robust data governance frameworks is essential for ensuring data quality, compliance, and informed decision-making.
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What’s Your Data Worth? How Different Sectors Set Goals with Data
Modern businesses and organizations recognize the immense value of data. From multinational corporations to public-sector bodies, non-profits, and healthcare institutions, organizations recognize that quality data has become a cornerstone of strategic decision-making, revenue generation, and operational efficiency.
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Hidden Insights in Legacy Systems: How Data Leaders Can Unleash CX Innovation
Many established companies have amassed a wealth of historical data over the years, often tucked away in outdated legacy systems. This data represents a largely untapped resource, ripe with opportunities for innovation and business growth. While the data was originally collected to address specific business needs at the time, companies frequently fail to recognize the full potential value it could offer – particularly in the age of AI.
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