Customer-churn-analysis-tableau

Excel, Python for Analysis Tableau Dashboard.

📊 Customer Churn Analysis Dashboard

This is one of my learning projects where I explored customer churn analysis using Tableau.

The goal of this project was simple: Understand why customers leave and how businesses can reduce churn.

What I Did

I worked with a telecom dataset and built an interactive dashboard to answer questions like:

• How many customers are leaving?
• Which type of customers are more likely to churn?
• What services or plans are linked to higher churn?

🛠 Tools I Used

• Tableau (for building the dashboard)
• Excel / CSV dataset (for data)

📊 What’s Inside the Dashboard

The dashboard includes:

• Churn Overview* → Shows overall churn percentage
• Churn by Contract Type* → Helps identify risky contract plans
• Churn by Internet Service* → Shows which service has higher churn
• Filters* → To explore data interactively

🔍 Key Insights I Found

• Customers with month-to-month contracts* have the highest churn
• Fiber optic users* tend to churn more compared to others
• Customers with long-term contracts (1–2 years)* are more stable

What I Learned

While working on this project, I learned:

• How to turn raw data into meaningful insights
• How to design clean and simple dashboards
• How to present findings in a business-friendly way

📷 Dashboard Preview

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🔗 Live Dashboard

([https://public.tableau.com/views/dashboard_17741639126170/Dashboard1?:language=en-GB&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link)]

About Me

I’m currently learning Data Analytics and building projects to improve my skills. This is part of my journey to become a Data Analyst.

Feedback

If you have any suggestions or feedback, feel free to share. I’m always open to learning!