A data analyst is reviewing a line chart in a Power BI report that shows total sales by month. They observe a significant and unexpected increase in sales for the most recent month. The analyst needs to quickly understand the primary factors that contributed to this increase without manually creating new visuals. Which Power BI feature should the analyst use?
Right-click the data point for the most recent month and select Analyze > Explain the increase.
Configure a drill-through page to show detailed product data.
Add a Q&A visual to the report and ask, 'What caused the sales increase?'.
Apply a Top N filter to the line chart to isolate the highest sales period.
The correct answer is to use the 'Analyze > Explain the increase' feature. This feature is specifically designed to automatically generate insights into why a data point has increased or decreased compared to the previous one. Power BI uses its machine learning algorithms to analyze the data and presents the findings in a new window with visuals and descriptions, highlighting the categories that most influenced the change.
Configuring a drill-through page is incorrect because it requires manual setup of a separate details page and is used for navigating to predefined views, not for automatically generating an explanation for a change. Using the Q&A visual is also not the most efficient method; while it supports natural language queries, the 'Analyze' feature is more direct and context-aware for explaining a specific data point's fluctuation. Applying a Top N filter would only isolate the month with the highest sales but would not provide any explanation for the increase.
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