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
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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