Power BI: Analysis of User Purchasing Behavior

This case study showcases advanced data visualization in Power BI, focused on analyzing user purchasing behavior.

The following Power BI report was created as a Proof of Concept to demonstrate my competencies in the following areas:

• integration of Power BI with a historical database designed in 2012,
• processing and aggregation of large datasets from ingestion data (anonymous user behavior data),
• building interactive analytical models that support market decisions.

The report demonstrates the following capabilities:

• acquiring and transforming data from external sources,
• creating advanced DAX formulas to extract additional layers of information,
• analysis of sales trends and demand in the Apple iPhone product segment.

The example visualization presents a fragment of the mobile phone market analysis, including:

• which iPhone models were viewed and purchased most frequently,
• how user preferences changed over time (e.g., dominance of the 16 GB 4s model),
• real conversion rates, including time to sale and auction effectiveness.

Thanks to the conscious use of the DAX language, it was possible not only to obtain precise operational data but also to draw concrete business conclusions.

Among the most interesting observations was that models with 32 GB sold the fastest – even though users more often browsed the 16 GB versions.

This report is only a fragment of the broader analytical possibilities that can be achieved by integrating a well-designed database with Power BI.

It shows how, using available tools, it is possible to build an analytical solution that genuinely supports business decisions.