This accessible guide helps readers successfully interpret warranty data to make accurate predictions. It discusses practical issues associated with the modeling and analysis of warranty data and includes a number of useful strategies to reduce costs of warranties. The authors offer a step-by-step approach with flowcharts to extract meaningful information from the warranty data, demonstrating each approach with detailed application examples. They also illustrate the use of neural networks in predicting warranty performance and show how other statistical methodologies can help support strategic, tactical, and operational types of managerial decision making.