A few weeks ago, I published a post 16 Items on My Qlik Sense Wishlist. It was just a “List to Santa Qlik” on the features that I would like to see in Qlik Sense. This post seemed to resonate with LivingQlik readers. Many people added their own wishlist items or voted on the features from the article they would like to see. This post has definitely garnered the most audience participation LivingQlik has ever seen which is just awesome.

30 post Comments – I know this really isn’t that much, but it is a record for me.

80 Twitter engagements – This is what Twitter Analytics says. Not really sure what it means, lol.

100 LinkedIn shares – Provided by BuzzSumo.

Anyway, I thought it would be fun to compile all the comments I received where readers submitted their own wishlist items and analyze the results in a Qlik Sense application, of course! This post is really just a thank you letter to all the great people out there that shared their thoughts and opinions with me.

Resources

I utilized the following extensions for this app:

Qlik Branch: Word Cloud

Qlik Branch: Color Styler

NarrativeSciences: Narratives for Qlik Sense

Qlik Sense Wishlist Analysis

The data source is just a 2-column spreadsheet. Here is the Qlik Sense application if you want it:

• The most votes by far was for Dynamic Labels in Qlik Sense. As described in the post, the ability to calculate the title of a metric is nothing short of vital to the success of an application.
• The idea of adding some sort of Dollar-Sign Expansion Preview was popular as well. It’s one of those things that I took for granted in QlikView until I realized there was not an easy way to test this in Qlik Sense.
• Surprisingly, the Only One Selected Value feature was not too popular among the readers, although that is a function I rely on in QlikView.

Here is the complete list:

Here is a word cloud of the features that Qlik Sense developers are wishing for.

• Do word clouds have tremendous analytical value? I don’t think so.
• Are word clouds really fun to look at? Completely.

Below is a tree map of the sources for reader engagement. People felt the most natural leaving comments on the post itself. LinkedIn was another strong forum for participation. Twitter is fun, but did not create too many comments. Facebook is a waste of time normally but I still utilize it for some odd reason.

NarrativeScience has a great premium extension that applies natural language analysis to charts in your Qlik Sense applications. It is very impressive technology. I utilized the extension here to do an automatic analysis on the wish counts. It speaks for itself, literally.

Final Thoughts

I have submitted this list to somebody at Qlik. Not sure where it will go, but thought you should know.

Although running a blog is admittedly time-intensive from an author standpoint, it wouldn’t amount to much if nobody cared to read it. So I sincerely thank you for taking the time to read the posts, and maybe even participate with me in this journey like so many did for the Wishlist post. We all work together to make a better Qlik ecosystem. So thank you again.

Happy Qliking!