Discrete Story


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.

 

Below are examples of how the narrative analysis changes with 1D/1M, 2D/1M and 1D, 2M, as well as a breakdown of each analytic type. 

 

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 Narratives for Power BI has support for the following scenarios of discrete analysis:

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

The example below is a single dimension and single measure bar chart:

 

The example below is a single dimension bar chart with two measures:

 

The example below is a bar chart with two dimensions and a single measure:

 

 

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

 

Example of Discrete Story: 

 

 


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