I had the honour of meeting up with Brian Booden from Neolytics recently and talk all things Qlik. We didn’t have time to fit everything into one catch up so Brian kindly agreed to an interview about his 2nd year as a Qlik Luminary, his new blog and the excellent Qlik Dev group (see you at the next meet up in Edinburgh soon!). Brian is a pioneer, having contributed sleek Qlik Sense extensions, and an enthusiastic promoter of the benefits of business intelligence.
This blog post started as one thing and ended up another, but I’m actually glad it did. I set out with the intention of using a range of Premier League data to examine Qlik Sense Chart chart types and best practices. However, after coming up with a list of around 20 different measures off the back of just the first 4 columns I decided it would be interesting to see what Qlik Sense can do with even the smallest of data sets. With just 4 columns; Club Name, Season, Position and Points, there’s enough to take you wherever your mind dares and Qlik Sense provides the tools to put your thoughts onto screen. The tools are not just the visualisations but the ability to rearrange and aggregate data within your front end calculations; in the forms of set analysis, aggr() and firstsortedvalue() functions.