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Microsoft Excel is more than a spreadsheet tool. It is a complete Business Intelligence (BI) platform. In this video, we break down the full Microsoft Excel Business Intelligence workflow and show you how Power Query, Power Pivot, the Data Model, DAX, PivotTables, Cube Functions, Charts, Slicers, Dynamic Arrays, Python in Excel, and Copilot work together to transform raw data into interactive dashboards. If you want to master Excel for data analytics, reporting, or dashboard creation, this video explains the architecture behind modern Excel BI. 🔎 In this video, you will learn: How Power Query performs data extraction and transformation (ETL) How Power Pivot builds the Excel Data Model How DAX enables advanced calculations and KPIs The difference between PivotTables and Cube Functions How Charts and Slicers create interactive dashboards Where Dynamic Arrays, Python in Excel, and Copilot fit into the workflow How Excel compares to Power BI for analytics Whether you are a data analyst, finance professional, business manager, or Excel enthusiast, understanding this Excel BI architecture will dramatically improve how you build reports and dashboards. 📌 Topics covered: Excel Business Intelligence Power Query tutorial Power Pivot explained Excel Data Model guide DAX for Excel PivotTables and Cube Functions Excel dashboard design Python in Excel Microsoft Copilot in Excel Modern Excel analytics If you found this helpful, like the video and subscribe for more advanced Excel, Power BI, and Data Analytics tutorials. Download workbook here: bit.ly/FINEXDATAQ1 Chapters 0:00 Introduction 2:48 Tables 7:09 Power Query 14:19 Power Pivot 24:37 DAX 30:03 PivotTables 33:02 Cube Functions 35:14 Charts and Slicers 39:00 Dynamic Arrays 41:27 Python in Excel 45:01 Agent Mode in Excel (Copilot) 48:15 Conclusion