Problem Statement: With the increasing reliance on digital payment systems like PhonePe, understanding the dynamics of transactions, user engagement, and insurance-related data is crucial for improving services and targeting users effectively. This project aims to analyze and visualize aggregated values of payment categories, create maps for total values at state and district levels, and identify top-performing states, districts, and pin codes.
Business Use Cases: Customer Segmentation: Identify distinct user groups based on spending habits to tailor marketing strategies.
Fraud Detection: Analyze transaction patterns to spot and prevent fraudulent activities.
Geographical Insights: Understand payment trends at state and district levels for targeted marketing.
Payment Performance: Evaluate the popularity of different payment categories for strategic investments.
User Engagement: Monitor user activity to develop strategies that enhance retention and satisfaction.
Product Development: Use data insights to inform the creation of new features and services.
Insurance Insights: Analyze insurance transaction data to improve product offerings and customer experience.
Marketing Optimization: Tailor marketing campaigns based on user behavior and transaction patterns.
Trend Analysis: Examine transaction trends over time to anticipate demand fluctuations.
Competitive Benchmarking: Compare performance against competitors to identify areas for improvement.
Dataset source: https://github.com/PhonePe/pulse