Customer Data Analysis explores key methods for analyzing customer data to understand customer characteristics, behaviors, preferences, and value. The content covers customer characteristics analysis, customer profiling, customer segmentation, and RFM-based customer classification. Topics include customer behavior and demographic analysis, visitor time and regional distribution, customer profiling and labeling systems, customer information analysis, and the use of the RFM model to segment customers based on recency, frequency, and monetary value. Practical exercises using Microsoft Excel introduce PivotTables, charts, formulas, data visualization, and RFM analysis to help learners identify customer patterns, evaluate different customer segments, and develop appropriate customer management and marketing strategies. The course also includes hands-on training in collecting, processing, analyzing, and presenting customer data through business data analysis reports.
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