Analysing the churn in multiple sectors: A Case Study on Imocha

To analyze and identify the factors contributing to churn in various industries within the finance sector.

To develop predictive models that can forecast churn behavior and help businesses anticipate and mitigate customer defection.

To provide recommendations for businesses on reducing churn and enhancing customer retention strategies based on the findings of the analysis.

Conduct a literature review on churn analysis and its significance in the finance sector.

Gather and analyze churn data from multiple industries within the finance sector, including banking, insurance, and investment services.

Apply data mining techniques to identify patterns and trends in churn behavior.

Develop and test predictive models to forecast churn risk for different segments of customers.

Provide recommendations for businesses on improving customer retention strategies based on the analysis results.