Warranty/Performance Text Exploration for Modern Reliability
Author: Scott Wise – Technical Business Manager – SAS Institute, Inc. – JMP Business Division
Special thanks to Laura Higgins, Bill Worley, Daniel Valente, Leo Wright & Chris Gotwalt for help developing this material
Key Words: Text Mining for Reliability, Warranty and Performance Analytics
Abstract:
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.
