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With the increasing amount of warranty/performance data available to reliability professionals, we have a golden opportunity to learn much more about our designs/products and come up with better reliability/maintainability models. However, this additional info often comes in the form of unstructured text from technicians, researchers, and customers. Inability to find groupings and trends in this data can hide the real impacting issues that our traditional reliability data won't be able to uncover. This session will seek to show how modern analytic software can help provide a way to quickly and easily explore this unstructured text data to gain better insights into our true reliability. We will cover the basics of how to visualize, group, analyze, model and ultimately find trends using warranty/performance unstructured text data.