Feed

This article explores how data analysts use Power BI to transform messy, chaotic data into actionable insights that drive million-dollar business decisions. It covers real-world examples of retail, healthcare, and manufacturing companies that saved millions by using dashboards to identify inventory issues, bottlenecks, and predict equipment failures. The key formula is clean data (Power Query) + smart calculations (DAX) + clear visuals (Dashboards) = business impact.

A practical guide to implementing idempotent delete operations in Django by correctly filtering queries and using transactions. The article demonstrates how a simple bug (missing the id= parameter in filter) prevented state changes, and how fixing the query naturally made the endpoint retry-safe without additional conditional logic.