Churn User Analysis_Power BI

I/ Introduction

1. Dataset

• User churn occurs when customers stop using a product or service, which can negatively impact business performance. Analyzing churn helps companies identify patterns and reasons behind customer disengagement, enabling them to create strategies to boost retention.
• This dataset comes from a telecommunications company and contains user information, including demographic details and churn-related data. By studying this dataset, we can uncover insights to guide churn reduction efforts and improve customer retention strategies.

2. Data Dictionary

3. Business Question

• Create a detailed dashboard for managers that tracks user churn, highlighting which users are most likely to leave.
• Provide clear metrics and insights on churn trends and user segments to quickly identify at-risk users.
• Offer actionable strategies and solutions to reduce churn and boost customer retention.

II/ Design Thinking

Step 1: Empathize

Step 2: Define

Step 3: Ideate

Step 4: Prototype

Step 5: Review

III/ Visualization

1. Customer Overview

2. Customer Detail

3. Churn Reason