Power BI exposes hidden profit rot
Shina Awopeju used a Power BI mini‑case to show high regional revenue was masking eroding profitability driven by operational costs—her analysis led to actionable steps like cost investigations and pricing adjustments. This is a compact example of root‑cause decomposition converting a revenue story into margin actions. (x.com)
Shina Awopeju’s mini‑case sits inside a public portfolio that showcases Power BI projects for healthcare and pharmacy performance intelligence, hosted on a Google Sites portfolio page. (sites.google.com) Her GitHub repositories include projects titled "Driving Operational Transformation Through Pharmacy Performance Intelligence" and "Optimizing Hospital Operations and Financial Performance," both of which call out revenue, logistics cost and profitability monitoring across departments or regions. (github.com) One of those GitHub repos shows recent activity with an update timestamp of Feb 19, 2026, indicating the analysis templates and dashboards were refreshed in the current fiscal year. (github.com) Her public profile lists an implemented outcome: building data‑driven financial control frameworks that reduced revenue/expense discrepancies by 25% year‑over‑year. (github.com) A project README documents concrete operational work — completing monthly reconciliations across 500+ vendor accounts and standardising targets that supported a reported 15% annual revenue increase. (github.com) The published projects provide downloadable artifacts and step‑by‑step dashboards intended to enable root‑cause decomposition into cost drivers and to support follow‑up actions such as vendor cost investigations and pricing adjustments. (github.com)
