A premium car manufacturer wants its future Warranty cases early and reliably.
So far, no consideration of so-called frequent drivers, i.e. vehicles with a high mileage in a short time, to predict future parts requirements and warranty cases.
Identification of frequent drivers by using the Entropy difference from information theory.
Separation of vehicles under warranty into frequent and normal drivers.
With this separation, top rising topics can be identified via rank differences.
Tool for the Forecast and Time-lapse analysis of warranty cases.
Early response to potential warranty claims.
Are you interested in your own use cases?
An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.
There will be a interactive and Flexible application, including of different maps with two different views implemented.
Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.
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