Project Overview:
Project files
- Used SQL to perform Exploratory Data Analysis and to find trends.
- Used Power Query to Load and transaform data before creating visualisations using PowerBI
- Made a dashboard answering key questions that would help the company identify customer churn risks and help in making better decision to increase customer retention rate.
Final dashboard picture:

SQL Queries used For EDA:

Findings:
- Two main reason for majority of the customers leaving the company was because of better offers given by the competitors and attitude of support person.
- Perform SWOT analysis to find insights for preparing better campaigns and offers.
- Launch new offers based on the preferred subscription mode and contract to atrract more customers.
- Implement better customer support strategies for exisiting and new joined customers for better customer retention rate.