Customer Case Study
Sallie Mae sought to tailor experiences for customers, which required a deeper understanding of customer data. However, they needed a comprehensive data governance program to ensure that the more than 500 data users across the company could find the right information at the right time and know it was fit for purpose. They chose Alation as the “front door” to their data. Using Alation, they can integrate all aspects of data governance — not just cataloging the information but driving policies and providing a place for people to collaborate. Alation reduces the time required for data search and discovery, and Sallie Mae uses Alation to help ensure compliance with regulatory requirements.
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Whitepaper
As AI utility increases, organizations are rethinking how they monitor and maintain data quality at scale to deliver trusted data for confident decisions. But traditional approaches often fall short—failing to keep up with chaos of data sprawl, silos, and ever-growing business demand.
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Poor data quality costs organizations millions in lost trust, wasted time, and bad decisions. Traditional data quality approaches are manual, slow, and often miss what matters most.
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Data products bridge raw data and business outcomes - but most organizations struggle to define, build, and scale them.