演讲主题：挖掘文本数据，获得现代可靠性的真实洞察
Topic: Warranty/Performance Text Exploration for Modern Reliability
摘要：
随着质保/性能数据的日益增加，我们原本可以更好地从中洞察关键，发现产品设计与改善的良机，大幅提高设备的可靠性。但这些信息通常来自技术人员、研究人员和客户的非结构性的文本数据，这为我们的分析带来了极大的不便。如果无法找出这些数据中的分组和趋势，将导致影响可靠性的真实问题被隐藏，对删失数据、质保失效时间戳等传统数据的分析无法发现这些问题。本次演讲将展示如何利用现代分析软件助力快速、轻松地探索非结构性的文本数据，获得关于产品和设备可靠性的真实洞察。我们将介绍如何利用有关质保/性能的非结构性文本数据，进行可视化、分组、分析、建模和发现趋势的基础知识。实践案例将展示真实的产品/服务等的质保、运行、表现相关的数据信息，其中探索文本数据对揭示真实的可靠性洞察起到了重要作用。
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.