Mining Your Warranty Data – Finding Anomalies (Part 1) – This article is an introduction to detecting anomalies with IBM SPSS Modeler. It describes how to access your source data, select fields for analysis, and create a simple matrix table for visualizing the data and highlighting anomalies.


Mining Your Warranty Data Using RFM Analysis – This article describes how to apply RFM (recency, frequency, monetary) analysis to mine warranty data in order to identify the most recent, the most frequently serviced, and the most expensive repairs. The analysis is done with IBM SPSS Modeler.


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