One key take-away from the recent Gartner B.I. Summit? Storytelling is a critical capability for modern BI platforms. Not only was “Storytelling” a section of the always exciting BI Bake-Off , but natural language generation, and it’s ability to generate stories from data, was a feature in the “Innovative BI in Action: Emerging Trends You Need to Know” session.
Narratives for Qlik was highlighted in both of these packed sessions, with hundreds of BI & Analytics leaders eager to see automatically generated narratives explain insights locked in visualizations.
We are enhancing Narrative for Qlik’s storytelling capabilities everyday and are thrilled to announce the new features in the 1.2 release, which include:
Narratives with deeper intelligence
Enhanced analytics generate narratives with greater insight. For continuous series analysis, the narratives can now examine intersections between multiple series, the level of statistical correlation between multiple series, and recurring patterns or cycles within a series.
Additional ways to enhance the narratives' logic and context
Users can define settings to specify if any measure is a component of any other measure plotted on the same graph.
For example, a user can specify that “Revenue” is a component of “Profit”. In addition, users can enable (or disable) collections of analytics and rank those analytic packages in order of what is important to them.
What kind of analytical packages are in Narratives for Qlik?
Each release features additional sophisticated analytics to make the narratives smarter and provide further context and relevance to your analysis. Current analytical packages supported include:
Distribution: used to measure variability in the data and includes calculations such as standard deviation, normality, skewness and ranking.
Clustering: groups entities that are similar together.
Segments: help explain the progression of entities across a series, for example identifying streaks, peaks, troughs, jumps, and runs.
Correlation: a statistical technique that can show whether and how strongly pairs of variables are related.
Volatility: a statistical measure of dispersion around the average of any random variable.
Trendline: indicate the general pattern or a general direction of time series data.
More chart types and dimensions supported
Users can now generate narratives about maps. For multi-dimension bar, column, and tree map charts, the narratives now discuss the data across the secondary dimension in addition to the primary dimension, giving the user additional perspective and insight into the data that is often difficult to see visually.
What's an example of a narrative describing a map?