We have recently introduced a new, natural language object in Qlik Sense SaaS that can be added directly to dashboards and applications to deliver AI-generated insights. This capability extends our NLG capabilities beyond the Insight Advisor experience, allowing a much broader audience of Qlik Sense users to benefit from narrative interpretations and readouts when exploring in dashboards, boosting data literacy and delivering improved data storytelling.
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App creators can configure the NLG object to produce narratives for any context by choosing dimensions, measures, and applicable analysis types – delivering insights for an overall sheet, describing a group of visualizations, or creating readouts for individual visualizations. It will automatically identify the appropriate analysis types based on the data selected, and the user can change what analysis types are included if they choose. Users have a variety of options for customizing the NLG, including generating paragraph format, bulleted format, and limiting the list (i.e. to the top recommendation per analysis type). And like all objects in Qlik Sense, our NLG is fully dynamic and responsive to selections, leveraging our associative engine to refresh with a new list of the most important insights after each click.
By utilizing AI to generate narrative insights and interpretations, we can effectively drive “in-product” data literacy for more users, especially those who may not be able to infer the best takeaways from a visualization or dashboard. This ability also provides a key ingredient for Data Storytelling, auto-generating the most relevant narrative insights which can be delivered in analytic data stories and reporting runs to PDF and PowerPoint.
NLG on a dashboard is another step in our journey to bring augmented analytics to all areas of our user experience, from a BI Developer working with data to a Business Analyst using AutoML and creating dashboards to a Business User interacting with apps and asking questions. In all these cases will be exploring best-in-class ways to surface AI and ML in our core analytics workflows targeted at automating and simplifying tasks, broadening and deepening insight, and expanding access and data literacy.
For now we would encourage you to take advantage of this new and exciting capability and make it part of all your apps. Learn more
