the speech topic: Mine 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 insight into key issues, discover opportunities for product design and improvement, and significantly improve equipment reliability. But this information usually comes from unstructured text data from technicians, researchers and customers, which brings great inconvenience to our analysis. Failure to identify groupings and trends in this data will result in real issues affecting reliability being hidden, and analysis of traditional data such as censored data and warranty expiration timestamps will not reveal these issues. This talk will demonstrate how modern analytics software can be used to quickly and easily explore unstructured text data to gain real insights into product and equipment reliability. We'll cover the basics of visualizing, grouping, analyzing, modeling, and spotting trends with unstructured textual data about warranty/performance. Practical cases will display data information related to quality assurance, 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.
