Clustering techniques are used to group data into meaningful segments, such as customer profiles or product categories. Power BI development company leverages Python or Azure ML to implement algorithms like k-means or hierarchical clustering. These clusters are visualized using scatter plots, heatmaps, or matrix visuals, making patterns easy to interpret. For example, a company might identify customer groups based on spending habits, enabling personalized marketing strategies. By integrating clustering analysis into Power BI dashboards, development companies empower clients to target specific segments and optimize resource allocation effectively.
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Giải đáp How do Power BI development companies use clustering techniques?
- Thread starter royben239
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