Banking churn analysis dashboard (Power BI)

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Bank Churn Analysis Project

📊 Exciting Bank Churn Analysis Project Results! 📊

I am thrilled to share the key insights from my recent project on Bank Churn Analysis. We delved deep into customer data to understand the factors influencing churn, and the results are truly eye-opening. Here are the key findings at a glance:

  • 🔹 Customers by Product Name 📈
    We analyzed customer distribution by product name, providing a clear overview of our customer base. This column chart reveals where our strengths lie and where there may be room for growth.
  • 🔹 Customers by Gender 🍩
    Gender is a significant factor in our analysis, as shown by the donut chart. Understanding gender distribution helps us tailor our services to better meet the needs of all our customers.
  • 🔹 Customers by Activity Status 🍩
    It's vital to identify active and non-active customers. This donut chart highlights the distribution of customers by their activity status, offering valuable insights into engagement and retention strategies.
  • 🔹 Customers by Credit Card Ownership 🍩
    Credit card ownership is another key aspect of our customer base. The donut chart visually represents the split between those who own credit cards and those who do not.
  • 🔹 Customers by Country and Churn Status 🍩
    This donut chart unveils how churn status varies across different countries. It's essential to understand these regional patterns to optimize our efforts.
  • 🔹 Customers and Churn Rating by Age Group & Score Group 📉📊
    We used a combination of a 2-line chart and a stacked column chart to illustrate how churn rates vary by age group and score group. This provides a detailed view of customer behavior and risk assessment.
  • 🔹 Lost Customers by Country and Gender 📈
    A line chart shows the number of lost customers by country and gender, allowing us to identify trends and patterns that can inform our retention strategies.
  • 🔹 Churned and Not Churned 🔍
    A simple slice chart differentiates between churned and not churned customers. It's crucial to know where we stand and how we can improve customer retention.
  • 🔹 Customers and Churn Rate 📊
    Finally, we summarize the project with two cards: one representing the total number of customers and the other displaying the churn rate. These cards give a quick, high-level overview of our bank's performance.

This Bank Churn Analysis project has provided us with valuable insights into our customer base, and these visualizations will guide our strategies for improving customer retention and satisfaction. Stay tuned for more exciting updates as we take action on these findings to better serve our customers. 🚀

🔗 View the Full Report: Click here to access the Power BI report

#Banking #DataAnalysis #ChurnAnalysis #CustomerRetention

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