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

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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Descriptive and predictive analytics enable the automotive industry to be pro-active in its management of warrantyrepairs and the substantial unknown costs associated with future claims. Understanding what makes theircustomers most dissatisfied can assist manufacturers to take pro-active steps towards restoring satisfaction andincreasing the likelihood of customers making future purchases. Presented in this short work-in-progress paperare two techniques which enable the interactive visualisation of high-dimensional relationships within categoricaldata. Our Multi-Chord Diagram and Multi-Chord Glyph Diagram extend traditional Chord Diagrams, overcomingthe 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 variouscombinations of automotive warranty repair. Although presented as a novel application for visualising customersatisfaction, we feel that the techniques described could also be applied to other scenarios involving the visualisationof variable high-dimensional relationships within categorical data.
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@inproceedings{
:10.2312/eurovisshort.20141167
, booktitle = {
EuroVis - Short Papers
}, editor = {
N. Elmqvist and M. Hlawitschka and J. Kennedy
}, title = {{
Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams
}}, author = {
Nicholas, Michael
and
Archambault, Daniel
and
Laramee, Robert S
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-905674-69-9
}, DOI = {
/10.2312/eurovisshort.20141167
} }
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