Power BI for Data Analytics
June 6, 2025 at 04:29 AM
🎯 *Power BI Real-World Project Blueprint* If you're serious about mastering Power BI or want to create content that stands out, start building *end-to-end project case studies*. Here's how to structure one: 📌 *Use Case Domains:* • Sales – Regional performance, top products • HR – Employee attrition, hiring trends • Healthcare – Patient wait times, treatment outcomes • E-commerce – Cart abandonment, revenue by source • Finance – Budget vs actual, cash flow analysis • Supply Chain – Inventory turnover, vendor performance 📦 *Data Source:* • Start with Excel or CSV (easy to find sample datasets) • Move to SQL Server, SharePoint, or APIs for depth 🧹 *ETL – Power Query:* • Remove nulls, fix data types • Merge, append, unpivot data • Create calculated columns or flags (e.g., “Is High Risk?”) 🔗 *Data Modeling:* • Use Star Schema: Fact & Dimension tables • Create proper relationships • Use surrogate keys if needed 📊 *Visual Reports:* • KPI Cards (Sales, Profit, Retention) • Drill-down bar/line charts • Filters, slicers (e.g., Region, Product) • Tooltip reports for detail on hover ☁️ *Deployment & Access:* • Publish to Power BI Service • Set up Scheduled Refresh + Gateway • Apply Row-Level Security (RLS) for secure data access 💡 *Pro Tip:* Create a Power BI portfolio with 2–3 such projects. Recruiters love real dashboards. *React ❤️ for more*
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