What’s New in Narratives for Qlik 1.3: Focus on What Matters Most

May 24, 2016 Katie Hughes

The data discovery process often begins with a question. How is my sales team performing? Why is revenue down? What is the correlation between level of education and salary?

Unfortunately, many additional questions surface as you continue your analysis, leaving you with more unanswered questions than answered ones.

With Narratives for Qlik®, you can receive answers to your most pressing questions -- not only because the insights are delivered in natural, easy-to-consume language, but also because they are automatically fueled by a wide range of advanced analytics. These integrated analytics uncover relationships in the data that would be impossible to identify by looking at the data or visualization alone.

Here are some answers Narratives for Qlik users now have at their fingertips, thanks to the robust features added in the latest release.

How can I focus my analysis to highlight what matters to me?

There’s nothing worse than aggregating your data, pulling it into your data discovery process, creating a beautiful visualization, and then thinking, “Well, that’s not exciting.” Particularly for those users who default to standard chart types, the “Aha!” moment may remain perpetually elusive, as obvious insights dominate the workspace and leave no room for interesting nuggets.

Why? Well, sometimes visualizations need to be made personal in order to be made relevant. And that requires the user to make selections that guide the analysis, so that it can communicate what is most interesting and important to that user.

With Narrative for Qlik’s Focus filter, you choose what metrics you would like to know more about and how they impact a certain entity in Qlik Sense’s View mode. After making your selection in the filter, your narrative and chart will dynamically update, explaining the analysis regarding the entities you care about most.

Focus Filter screenshot

What is this scatter plot telling me?

Scatter plots can be a very powerful method of analyzing data, as they display the relationships between two variables, indicating the type and strength of the relationship between them.

But have you ever wondered, "What am I looking at exactly?"

If so, you are not alone. Analyzing patterns from the collection of points can require an advanced skill set to determine how the form (linear or nonlinear?) and strength (strong or weak relationship?) impact the analysis.

Luckily, Narratives for Qlik generates natural language summaries to explain the insights locked in scatter plots, explaining the relationship between measures, interesting groups of entities, and outliers.

What are the potential drivers impacting my analysis?

The reason why data discovery can open up a Pandora's Box of questions you didn't even think to ask is because you may receive one valuable insight, only to then wonder the story behind it. For example, in analyzing car sales data, you may learn that car sales rose 20%. Then you wonder, why? How did this happen? What's the reason?

With Narratives for Qlik, users can now provide the extension with several application-wide measures that could potentially impact the subject of analysis.

driver modal screenshot

The product determines and communicates which value is impacting performance the most, dynamically informing you about the strongest correlations between measures. Back to analyzing car sales data, and now your narrative might read, “As advertising spend increased by 10%, average car sales rose 20%, indicating a strong relationship between the measures.”


Haven't tried Narratives for Qlik yet? Download it here:

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