Churn Prediction Case Study
You work at a multinational bank that is aiming to increase its market share in Europe. Recently, the number of customers using banking services has declined, and the bank is worried that existing customers have stopped using them as their main bank. As a data scientist, you are tasked with finding out the reasons behind customer churn and predicting future customer churn. The marketing team is interested in your findings and wants to better understand existing customer behavior and possibly predict future customer churn. Your results will help the marketing team to use their budget wisely to target potential churners.
Before you start analyzing the problem, you'll first need to have the data at you disposal.
Obtaining the Data
This step refers to collecting data. Data can be obtained from a single source or multiple sources. In the real world, collecting data is not always easy since the data is often divided. It can be present in multiple...
