Summary

This Power BI pharmaceutical sales dashboard helps users analyze sales performance, profitability, and product success across the European pharmacy market. It provides interactive views for comparing regions, pharmacy types, product categories, and time periods.

The report was created by Odunlami Zainab using the Pharmacy Sales and Profitability dataset. It was submitted to the January–February 2026 Onyx Data DataDNA ZoomCharts Mini Challenge.

Key Insights of the Power BI Pharmaceutical Sales & Profitability Dashboard

The report combines commercial, product, geographic, and time-based analysis. Its main insights include:

• Sales performance: compare pharmaceutical sales results across the available business dimensions
• Profitability: examine how commercial performance and profitability vary between market segments
• Regional performance: explore geographic differences across the European market
• Pharmacy type comparison: evaluate performance across the pharmacy groups available in the dataset
• Product category analysis: identify categories associated with stronger or weaker commercial results
• Product success: investigate relationships between sales measures, profitability, and product performance

Shape Map, Scatter, Combo, Combo Bar, Timeline, and Donut visuals provide geographic, correlation, trend, comparison, time-based, and category-composition views. Cross-filtering allows users to move from the overall market to a selected region, pharmacy type, product category, or reporting period.

How to Use This Power BI Pharmaceutical Sales & Profitability Dashboard

Click a region, scatter point, chart category, timeline period, or donut segment to filter the related sales data. Use the visuals together to compare commercial performance and investigate differences between markets, pharmacy types, and product categories.

Download the PBIX template to review the report structure, calculations, data model, and visual settings in Power BI Desktop. Connect it to your own pharmaceutical sales data and adjust the regions, pharmacy types, product categories, dates, and measures as needed.