Speech topic: Mining text data to gain real insights into modern reliability
Topic: Warranty/Performance Text Exploration for Modern Reliability
summary:
With the increasing amount of warranty/performance data, we could have better insights into key issues, discovered opportunities for product design and improvement, and significantly improved equipment reliability. However, this information usually comes from unstructured text data from technicians, researchers, and customers, which greatly inconveniences our analysis. If we cannot find the groups and trends in this data, the real problems that affect reliability will be hidden, and the analysis of traditional data such as censored data and warranty expiration timestamps cannot reveal these problems. This presentation will show how to use modern analytical software to help quickly and easily explore unstructured text data and gain real insights into product and equipment reliability. We will introduce the basics of how to use unstructured text data about warranty/performance for visualization, grouping, analysis, modeling, and trend discovery. Practical cases will show data information related to warranty, operation, and performance of real products/services, etc., in which exploring text data plays an important role in revealing real reliability insights.
Abstract：
With the increasing amount of warranty/performance data available, we have a golden opportunity to learn much more about our designs and 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 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 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 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.
