Value Escalator Analaytics

A Case Study of Company Growth Using Data Analytics

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?