With the release of Qlik Sense June 2018, it is a good time to take a look at the AI advancements of Qlik Sense. At the core of all Qlik products is the belief that analytics software should help to harness and extend the capabilities of the human user – driving data literacy for users of all skill levels. Our AI strategy centers on a new cognitive engine that works with our associative engine to provide insight suggestions and automation that are in context with user intuition and behavior.
We started our AI journey in the February 2018 release with a new set of capabilities aimed at accelerating the self-service creation process through machine suggestions and automation, shortening the time-to-value from data to insight. The first step was to improve the process of linking multiple data sources together, where our Cognitive Engine now makes recommendations for the best associations based on the data sets being loaded.
In the April 2018 release we continued this process by augmenting and accelerating the visualization process itself. A new chart suggestions capability leverages the cognitive engine to provide the best types of charts and visualizations based on the data being analyzed. This new “assist mode” automatically determines and renders the best chart types as users drag-and-drop dimensions to explore, and also renders a set of alternative chart suggestions for consideration, giving the user more choice in how they want to represent data. This requires the cognitive engine to understand data and associations and select the most appropriate visualizations to facilitate exploration and insight generation.
In June 2018 we took our AI capabilities to the next level with the introduction of the new Insight Advisor, again driven by our cognitive engine. The Insight Advisor provides the users with a new experience that auto-generates the most relevant charts and insights based on the overall data set, dimensional selections, and search criteria. This capability becomes even more powerful when combined with our associative engine, allowing users to spot insights in-context with their selections.
We hope you share our excitement around in these innovations that help to expand the accessibility and adoption of analytics for everyone, driving data literacy across your organization. And stay tuned for further innovations as our cognitive engine learns to better meet your analytics needs!