Due Date Is Over
Due Date: 29-06-2024
Assignment 2: Case Study
A financial services company aims to analyze credit card transaction data to improve customer targeting, detect fraudulent activities, and enhance customer service.
Tasks:
1. Data Exploration:
o Import the credit card transaction dataset into Azure ML.
o Conduct data cleaning and preprocessing steps.
2. Single Quantity Description:
o Calculate key metrics such as average transaction value, transaction frequency, and total spend per customer.
o Visualize the distribution of transaction values.
3. Fraud Detection Insights:
o Identify unusual patterns or anomalies in transaction data that may indicate fraudulent activities.
o Propose strategies for real-time fraud detection using descriptive analytics.
Industry-Oriented Questions:
• How can analyzing average transaction values help in identifying high-value customers?
• What techniques can be employed to detect and prevent fraudulent transactions?
