You are reviewing a clustered column chart that displays Total Sales by month and by region. Management notices that the value for March is significantly higher than the value for February and asks you to provide a quick, data-driven explanation. Without adding any new visuals or writing DAX, which action should you perform to use Power BI's built-in Analyze feature to automatically generate the most likely factors behind the change?
Select the visual and choose Visual > Get quick insights to have Power BI suggest explanations.
Right-click the column for March and choose Analyze > Explain the increase.
Open the Q&A visual and type "why did sales grow in March" to have Power BI return an answer.
Select the visual and choose Insert > Smart narrative to let Power BI describe the change.
The Analyze feature can be invoked from within many Cartesian charts by right-clicking a single data point. When you choose Analyze > Explain the increase (or Explain the decrease), Power BI runs an internal analysis across the model's other fields and returns a narrative visual that highlights the dimensions that most strongly contributed to the difference between the selected point and the previous one in the logical series. The other options either call unrelated features (Quick insights, Q&A, Smart narrative) or fail to target a single data point, so they will not return the same automated explanation generated by the Analyze feature.
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