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Abstract:
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With the increasing amount of warranty/performance data available, 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 reliability impacting issues that our traditional data analysis on censored test data, warranty failure time stamps, etc. 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 how 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. Industry examples will be shown using real warranty/performance data where text exploration was helpful in uncovering real reliability trends.
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