📊 Financial Consumer Complaints – Power BI Dashboard

A complete end-to-end data analytics project using Power BI, showcasing KPIs, trends, complaint insights, and a professional dashboard interface.

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🗂️ Project Repository Structure

📌 Power BI Dashboard (Image Preview)
➡️ Dashboard Image

📌 YouTube Guidance Thumbnail
➡️ YouTube Guide Image

📌 Dataset Screenshot (.png)
➡️ Dataset Preview

📌 Problem Statement (Image)
➡️ Problem Statement

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🖼️ Project Visual Layout (2×2 Preview Matrix)

1️⃣ Power BI Dashboard Preview	2️⃣ Dataset Screenshot

3️⃣ YouTube Guidance Image	4️⃣ Problem Statement

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📝 Project Description

This project presents a Financial Consumer Complaints Dashboard built in Power BI, designed to help financial institutions:

• Track complaint volume & trends
• Analyze categories, issues & products
• Monitor resolution performance
• Understand disputed vs non-disputed cases
• Identify high-complaint states
• Improve customer satisfaction with data-driven insights

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🎯 Objectives of the Project

• Provide a consolidated view of all consumer complaints
• Track KPIs such as Timely Response %, Disputed Rate & Resolved at No Cost
• Explore complaint categories & product performance
• Visualize state-wise complaint density
• Build an easy-to-read, modern Power BI dashboard
• Help stakeholders take quicker, more efficient decisions

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📊 Key KPIs in the Dashboard

• Total Complaints: 75,074+
• Timely Response: 98.05%
• In Progress Cases: 280
• Disputed Rate: 9.71%
• Resolved at No Cost: 84.50%

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📂 Dataset Summary

Field	Description
Company	Financial organization name
Complaint ID	Unique complaint identifier
Date Received / Submitted	Timeline tracking
Issue / Sub-Issue	Complaint type
Product / Sub-Product	Financial category
State / ZIP Code	Complaint location
Timely Response	Yes/No
Consumer Disputed	Dispute status

Data Includes:

• Credit card, mortgage, savings, debt collection
• Location & date-based data
• Complaint categorization
• Customer dispute information

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⚙️ Project Workflow

1️⃣ Data Cleaning & Preparation

• Removed duplicate and missing data
• Standardized complaint categories
• Cleaned date formats
• Validated product & issue fields

2️⃣ Data Modeling (Power BI)

• Built relationship model
• Created Date dimension
• Developed DAX Measures:
  • Total Complaints
  • Disputed %
  • Timely Response %
  • In Progress Count

3️⃣ Visualization & Dashboard Layout

• KPI cards
• Bar chart (Complaints by Issue)
• Map visual (State-wise complaints)
• Tree map (Product-wise complaints)
• Monthly trend line chart
• Donut chart (% Disputed)

4️⃣ UX Enhancements

• Modern purple gradient design
• Clean layout with consistent spacing
• Interactive filters:
  • Date
  • Media
  • Product

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🔍 Key Insights

🟣 Complaint Type Insights

• Managing accounts, deposits, and payment issues dominate complaints
• Identity theft is a rising concern

🔵 Product Insights

• Credit Card & Checking/Savings account complaints are the highest
• Mortgage-related complaints show significant volume

🟠 State Insights

• East-coast states show high complaint concentrations
• Helps identify regions where service improvements are needed

🟡 Timeline Trends

• Monthly data highlights seasonal complaint fluctuations

🔴 Dispute Insights

• Nearly 10% complaints disputed, indicating gaps in resolution quality

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🧰 Tools & Skills Used

🛠 Tools

• Power BI Desktop
• Power Query
• DAX
• CSV/Excel

🧠 Skills

• Data Cleaning
• Data Modeling
• Dashboard Design
• KPI Analysis
• Geo-Visualization
• Trend Analysis

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🖼️ Dashboard Preview

➡️ Full Dashboard PNG:
https://github.com/Ashwin18-Offcl/Financial_Complaint_Dashboard/blob/master/Dashboard%20Image.png

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📘 Summary

This Power BI project provides a clear, visual, and interactive platform for analyzing financial consumer complaints, enabling organizations to:

• Track performance
• Identify bottlenecks
• Improve complaint-handling processes
• Make data-driven decisions

It demonstrates strong skills in Power BI, DAX, modeling, and storytelling with data.

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🔖 Tags & Keywords

#PowerBI #Dashboard #DataAnalytics #BusinessIntelligence
#ConsumerComplaints #FinancialAnalytics #DataVisualization
#AnalyticsPortfolio #AshwinPanbude

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📬 Contact Me

📧 Email: ashwinpanbude1220@gmail.com
🔗 LinkedIn: https://bit.ly/49pSuZJ
🐙 GitHub: Ashwin18-Offcl