To analyze historical financial data of customers to identify patterns leading to churn.
To develop predictive models using advanced analytics techniques to forecast customer churn in the finance industry.
To assess the impact of customer churn on financial performance and identify strategies to mitigate churn.
Collect and clean financial data related to customer transactions, account balances, and credit scores.
Apply data mining techniques to uncover patterns and trends associated with customer churn.
Build and validate predictive models using regression analysis, machine learning algorithms, and statistical methods.
Interpret the results of the predictive models to provide actionable insights for finance firms.
Present findings and recommendations in a comprehensive report outlining strategies to reduce customer churn and improve financial performance.
