This module equips learners with skills to analyze customer data in Power BI for strategic insights, focusing on three core areas. CoreLab 01 teaches establishing comparative indicators, such as total and same-period revenue, using calculated measures and conditional formatting to visualize year-over-year performance changes with data bars, background colors, and font colors. CoreLab 02 explores quadrant distribution application, utilizing a custom Power BI visual to categorize customers (e.g., High Member High Contribution) based on metrics like member count and average spending per person, integrating slicers, maps, and pie charts for interactive analysis. CoreLab 03 delves into RFM customer value analysis. This involves calculating Recency (R), Frequency (F), and Monetary (M) values, then segmenting customers into eight distinct value groups. A crucial step involves establishing data relationships between tables for accurate analysis. The module demonstrates visualizing customer segments through matrix visuals with data bars, and scatter plots showing product purchase and contribution trends over time via an animated play axis.

Youtube : https://youtu.be/PODRJxWK14Y
www.youtube.com/@LittlePrinceQuestLab

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