Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams

Descriptive and predictive analytics enable the automotive industry to be pro-active in its management of warranty repairs and the substantial unknown costs associated with future claims. Understanding what makes their customers most dissatisfied can assist manufacturers to take pro-active steps towards restoring satisfaction and increasing the likelihood of customers making future purchases. Presented in this short work-in-progress paper are two techniques which enable the interactive visualisation of high-dimensional relationships within categorical data. Our Multi-Chord Diagram and Multi-Chord Glyph Diagram extend traditional Chord Diagrams, overcoming the limitation of only depicting relationships between category pairs. We present these techniques in an application, addressing a real-world problem of visualising data relating to customer satisfaction following various combinations of automotive warranty repair. Although presented as a novel application for visualising customer satisfaction, we feel that the techniques described can also be applied to other scenarios involving the visualisation of high-dimensional relationships within categorical data.