Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Scott Wise, JMP Global Enablement and Training Manager, SAS
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 information 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 issues impacting reliability, which can't be uncovered by our traditional data analysis on censored test data, warranty failure time stamps. This session will show how modern analytic software can provide a way to quickly and easily explore this unstructured text data to gain better insights into 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 show real warranty/performance data where text exploration was helpful in uncovering real reliability trends.