Power BI pharmacy dashboard found drivers
A Power BI dashboard analyzing 10,000+ prescriptions over 12 months surfaced operational trends and efficiency levers for pharmacy operations—showing how decomposition and time‑series visuals reveal root causes at scale. The example is a practical template for adapting Power BI to CPG supply‑chain and SKU‑level driver analysis. (x.com)
The dashboard was published as the AI360 Pharmacy Sales Performance — March 2025 project by Ibukun Egwuogu and the report explicitly surfaces headline KPIs including transactions, total sales, profit, quantity, COGS and customer rating. (datascienceportfol.io) The author paired decomposition-style breakdowns with time-series trend lines to convert aggregate shifts into operational guidance for inventory allocation and refill planning. (datascienceportfol.io) Screenshots and comparable Power BI pharmacy templates show drill-down/“decomposition” visuals and timeline widgets used to isolate SKU- and prescriber-level drivers from month-over-month volatility. (zoomcharts.com) The project file and write-up include an Executive Summary plus Strategic Recommendations sections that tie the analytics to specific operational levers (stock rebalancing and margin-preserving substitutions). (datascienceportfol.io) The same visual pattern—decomposition + rolling time-series—maps directly to CPG supply‑chain and SKU-level driver analysis, a use case documented in industry roundups of Power BI dashboards for pharma and CPG analytics. (gauravdakshini.com) Recent Power BI platform updates (March 2025 feature notes) expanded composite-modeling and visual interactivity that make scaling a 10k+ prescription decomposition to SKU-level driver trees technically feasible in a single semantic model. (powerbi.microsoft.com)
