An application which analyses data from 145 years of Tennis Grand Slam data, providing insights by player and tournament over time.
This was created as a demonstration of the technique of pulling data from HTML tables on Web Pages (in this case two Wikipedia pages) and also to show off category colours in our Instant Sense Application.
This application is a template into which any data source can be loaded, along with metadata describing the data to give a fully working Sense application in a very short space of time.
Our Instant Sense Application allows any data set to be uploaded and analysed. Even relatively simple datasets, like this one, can yield interesting discoveries. Perhaps the most striking thing is the large gap between the top seven players and the rest of the pack. The other thing is how the very top female players beat the top male players on many different measures.
Impact
As sports are divided into male and female competitions the data are often displayed and considered separately. By loading the data from two different sources and blending them a combined view can be given. Colouring the data by the competition dimension makes the achievements of the female players stand out.
Audience
The important thing when bringing data and analytics to people is to bring them data that they can engage with. Sometimes the simplest of data sources can be best at telling a story and drawing people in. Once those users have got used to navigating a simple dataset on a topic that interests them they will be ready to engage with the business data that can give them the edge.
Data and advanced analytics
Our Instant Sense Application is free to download and use and can be used over any dataset. It's a great way to provide a proof of concept and to quickly discover which measures are worth tracking. It ships with a number of scripts that are generally useful, such as Qlik Session Monitors and QVD Profiling, as well as scripts to load from online sources like this one.