Qlik Sense Cognitive Engine

Written By Gabriel Oluwaseye, Edited By Mae Semakula-Buuza
Thu 25 October 2018, in category Business intelligence

Data visualisation, Qlik



At the beginning of the year, Qlik introduced the Cognitive Engine, a feature that generates chart automatically based on the input/loaded data into Qlik Sense.

When Qlik Core was introduced, the user interface (UI) consisted of drag and drop features, where you would drag and drop field(s) to the design canvas, and suggestions of the best visualisations using the field(s) selected were generated. This feature encompasses the true meaning of what "being cognitive" is all about - commonly associated with: the act or process of knowing, thinking and/or understanding - these processes all involve conscious activity, as does artifical intelligence (AI).

Now, enough about the academics and let's get back to the main focus of this blog: the Cognitive Engine. With the latest edition of Qlik Sense, Qlik has introduced Insights (see pic below, top right). When you hover over the Insight tooltip, this shows Insights Advisor.


How-To-Guide: Qlik Sense Insights

Upon clicking on the Insight button, the Qlik Core engine functionality is activated, displaying a blank canvas.

  1. A textbox is opened up, encouraging you to start typing.
  2. Located on the left side of the page is list of all fields and master items in the application. If you select any of the fields from the fields listed, chart recommendation is activated.
  3. Generate Insights is a function that uses Qlik Core to inspire users. Think of this as when users don’t have any idea and are looking for insight from previously loaded data.


Video tutorial

Here is a video to show you how it all works in practice:

Overall, it is safe to say that this new interactive Insights feature within Qlik Sense is the start of the revolutionisation of data analysis. It is safe to say that Qlik Sense is something to watch out for in the BI sphere and I can't wait to see what the future holds.

Thank you for reading this blog. Tune in for the next one!