Power BI Project: BANK TRANSACTIONS REPORT | Power BI Dashboard Tutorial

Опубликовано: 15 Июнь 2026
на канале: Chiamaka Igwe
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#powerbi #dataanalytics #businessintelligence
Power BI Project: BANK TRANSACTIONS REPORT | Power BI Dashboard Tutorial

Are you ready to build a professional Power BI dashboard for monitoring bank transactions and detecting fraudulent activities? In this end-to-end Power BI tutorial, I’ll walk you through creating a 3-page interactive report designed for banking institutions to analyze transaction trends, detect fraud, and explore data with powerful visuals and DAX measures!

🔹 What You'll Learn in This Power BI Tutorial:
✅ Data Cleaning & Transformation in Power Query
✅ Creating DAX Measures for meaningful insights
✅ Building a 3-Page Bank Transactions Dashboard with page navigator featur
✅ Using Card, Line, Doughnut, Bar, Slicers and Map Visuals
✅ Implementing Drillthrough and Conditional formatting for Insights
✅ Custom Background Design in PowerPoint

🔹 Why Watch This Tutorial?
✔ Real-world Power BI use case for banking & fraud detection
✔ Step-by-step explanation with practical implementation
✔ Power Query, DAX, and PowerPoint custom backgrounds
✔ Perfect for beginners & advanced Power BI users

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🔥You can download this Power BI file Here!
https://mainstack.store/datachy/oLQKy...

📥 Download Resources: https://drive.google.com/drive/folder...

📊 Watch More Power BI Project Tutorials:    • Power BI Projects Playlist | End-to-End Po...  

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📚 Guided learning paths for Data Analysts:

• Excel → https://datacamp.pxf.io/c/6665278/378...
• Power BI → https://datacamp.pxf.io/c/6665278/312...
• SQL → https://datacamp.pxf.io/c/6665278/312...
• Python → https://datacamp.pxf.io/c/6665278/312...
• Power BI Design → https://www.udemy.com/course/microsof...

📌 More courses:
👉 https://datacamp.pxf.io/c/6665278/373...

These are affiliate links. If you sign up through them, I may earn a small commission at no extra cost to you. Thanks for supporting the channel.

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CHAPTERS
0:00 Intro
3:45 Create Background on Power Point
7:35 Import Dataset, Data Cleaning and Data Transformation
15:45 Data Visualization