The sources detail three practical Power BI Desktop exercises for customer data analysis, designed to help users understand market phenomena, consumer status, and customer value. The first CoreLab focuses on establishing comparison metrics, guiding the calculation and visualization of total revenue, year-over-year total revenue, and their ratio using tables and line/clustered column charts with conditional formatting. The second CoreLab introduces the Quadrant Chart for customer segmentation, categorizing customers by member count, average spending, and total spending, then displaying these insights through maps, pie charts, and cards to visualize regional distribution and contributions. The third and most complex CoreLab involves building an RFM (Recency, Frequency, Monetary) customer value analysis model. Users calculate R, F, and M scores, create an RFM table, and classify customers into eight distinct value segments. These segments are then analyzed using area charts, a matrix table, and an interactive scatter plot with an animation play axis, providing deep insights into customer behavior, purchasing patterns, and customer relationship management. The exercises emphasize hands-on operation and visual data interpretation for effective business insights.

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