Where is the Discrete Story Analysis Useful?

  • Sales Reporting - better understand drivers of your KPIs
  • Data Discovery - quickly identify and understand outliers
  • Audit - identify trends not easily observable in the visual
  • Geographical - instantly uncover complex utilization insights
  • Relationships - identify and call out key relationships between sales & profit


With a discrete story type, a user is trying to compare values and understand the distribution of their data. The narrative analysis adds distribution and groupings/clusters across the data.


Contribution analysis for multi-dimensional narratives.


Example of analytic types found in a Discrete Story: 




Discrete Story Requirements

Qlik has support for the following scenarios of discrete analysis:

  • Single dimension with between one and 10 measures
  • Two dimensions and one measure