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πŸ“Š Interactive Power BI dashboard analyzing PhonePe transactions, users, and regional trends across India.

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PhonePe-Analysis-Dashboard

πŸ“Š PhonePe Analysis Dashboard is an interactive data visualization project created using Power BI. The dashboard provides insights into transaction trends, user statistics, and regional activity using CSV datasets.

🎯 Project Overview

This project analyzes PhonePe transaction data to understand patterns in:

Transaction Amount & Count over time

State & District level distribution

Quarterly transaction trends

Registered users and app opens

Transaction types and regional contributions

Regional and device-wise statistics

The aim is to transform raw CSV data into an easy-to-understand visual format that can help in decision-making and trend analysis.

πŸ”‘ Key Features

Total Transactions Overview: View and filter total transaction amount and count for selected years and quarters.

State & District Analysis: Compare transaction volumes across states and districts.

Interactive Filters: Select years, quarters, and regions to dynamically update visuals.

Transaction Type Breakdown: See distribution across peer-to-peer, merchant payments, recharges, and more.

Regional Insights: Identify top-performing regions.

Device Usage Analysis: Explore user distribution by mobile brand.

πŸ›  Tools & Technologies

Power BI – for creating dashboards and data visualization.

CSV Data Files – as the data source for the analysis.

Data Transformation – Power Query for cleaning and shaping data.

πŸ“Έ Dashboard Screenshots

Transaction Overview & State Analysis

Screenshot 2025-08-02 170411

User Statistics & Transaction Type Analysis

Screenshot 2025-08-02 170436

πŸš€ Future Enhancements

Real-Time Data Integration: Connect to APIs or live data sources for up-to-date insights.

Advanced Drill-Downs: Add more granular views for state β†’ district β†’ city level analysis.

Custom User Filters: Allow dynamic filtering by transaction type, region, and time range.

Forecasting & Predictive Analytics: Use historical data to project future trends.

Mobile-Optimized Dashboard: Improve layout for better viewing on mobile devices.