Altair Engineering, Inc. All Rights Reserved. / altair.com / Nasdaq: ALTR / Contact Us SOLUTIONS FLYER Warranty risk profile analysis, sometimes referred to as quality issue prioritization, is a vital part of any ongoing quality improvement process. The data from warranty claims, once cleansed and sorted, is one of the most valuable parts of the feedback loop that enables companies to improve their products’ reliability and customer satisfaction. Sorting and Categorizing Claims Data Machine learning (ML) is the optimal technology for analyzing large volumes of warranty claims data. Systems that support a visual, no-code approach to selecting, building, and testing ML algorithms save time compared to writing custom code. They make it easier for everyone involved in the decision

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