You are designing a sales performance report in Power BI. The model contains a column named IsPremiumCustomer that holds the values Yes and No, plus several demographic and behavioral attributes for each customer. You must create a visual that automatically evaluates which attributes most affect whether a customer is premium and displays their relative influence ranked by strength. Which AI visual should you add to the report?
The Key influencers visual applies automated statistical analysis to determine which fields in the dataset most strongly drive the selected outcome. When a binary target such as Yes/No is chosen, it calculates how much each factor increases or decreases the likelihood of the positive outcome and lists them in order of influence. The Decomposition tree can suggest AI splits but is primarily used for iterative drill-down on an aggregate measure, not for ranking drivers of a categorical result. The Q&A visual provides natural language querying, and the Smart narrative visual produces textual summaries; neither performs driver analysis. Therefore, the Key influencers visual best meets the requirement.
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How does the Key Influencers visual determine which attributes affect an outcome?
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What are the limitations of the Decomposition Tree visual compared to Key Influencers?
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Can Key Influencers analyze more than binary outcomes like Yes/No?
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