Paisabazaar Fraud Analysis Dashboard in Power BI | Complete End-to-End Tutorial for Beginners

Описание: Welcome to this step-by-step Power BI tutorial, where you will learn how to build a full Paisabazaar Banking Fraud Analysis Dashboard from scratch.
In this video, we transform raw financial and customer data into a powerful, interactive dashboard that helps identify high-risk customers, fraud patterns, credit behavior issues, and financial anomalies.

Whether you're a beginner or an aspiring data analyst, this tutorial will help you understand how to structure data, build calculated fields, design insights, and tell a compelling story through Power BI.

🔍 What You Will Learn:

✔ Importing and cleaning data in Power BI
✔ Creating calculated columns like:

Age Groups

Income Segments

Credit Utilization Categories

EMI Burden Ratios

Rule-based Fraud Flags
✔ Writing DAX measures for KPIs and analytics
✔ Designing a one-page interactive dashboard
✔ Creating professional visuals including:

Bar & Column Charts

Donut Chart

Box Plot

Scatter Plot

Line Chart

Correlation Heatmap

Top 10 Fraud Flags Chart
✔ Building business insights through storytelling visuals
✔ Formatting, theming, and optimizing dashboards for clarity

📊 Key Dashboard Insights Covered:

✨ Total Applications
✨ High-Risk Customer Count
✨ Fraud Rate (%)
✨ Avg Credit Utilization
✨ Avg EMI & Outstanding Debt
✨ Credit Score Distribution
✨ Delay & Payment Behavior Analysis
✨ EMI Burden & Loan Count Insights
✨ Occupation-wise Risk Exposure
✨ Top 10 Fraud Flags
✨ Monthly Fraud Trend
✨ Income vs Debt Scatter Analysis

All visuals are interactive with slicers for Age, Income Group, Occupation, Credit Score, Payment Behavior, and more.

🧠 Skills Covered in This Tutorial:

Power BI Desktop

Power Query Editor

Data Cleaning & Transformation

DAX Calculations (Measures & Columns)

Dashboard Layout Design

Data Modeling

Financial Fraud Analytics

Visualization Best Practices

📁 Resources You Can Expect:

👉 Dataset used in the tutorial - https://drive.google.com/drive/folder...
👉 GitHub: https://github.com/rishav7575/Paisaba...

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Let’s connect:
📌 LinkedIn:   / rishavsinha75  
📌 GitHub: https://github.com/rishav7575