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The application shows which makes and models have better pass rates in their MOT tests. This is broken down various ways and is colour coded throughout. Further metrics can be viewed, such as the average mileage per year and average vehicle age, so that the pass rate can be put into context. For instance, Mercedes drivers average over 10K miles per year but still have a pass rate of over 82%.
These data can be useful for many industries and purposes. Insurers might use it to see which makes of vehicle are likely to be driven further each year. The motor trade may use it to fine which models in their range tend to be more reliable. Individuals can even use the application, choosing which day of the week they book their car in for a test - as there is a significant difference in pass rate on different days.
The application has been built to demonstrate the power of the application framework that it is built in, and that of Qlik's SaaS offering. It could potentially have a very wide audience of people who have an interest in the motor industry or UK demographics.
The application has been built using freedom of information data and Quick Intelligence's Instant Sense Application. This application is free to download and allows you to upload your own data, along with a set of metadata, to have a working application in minutes and not hours or days. This is particularly useful for prototyping of applications, but can be used in production also.
See a live demo of the UK MOT application here:
https://www.quickintelligence.co.uk/sense/instantmot.html
Find out more about the Instant Sense Application and download it from here:
https://www.quickintelligence.co.uk/instant-qlik-sense-app/
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