├── Customer Risk Analysis.png ├── 02 Customer Churn-Dataset.xlsx ├── Customer Churn Dashboard.pbix ├── Customer Churn Dashboard.png ├── Customer Risk Analysis Dashboard.pbix ├── LICENSE └── README.md /Customer Risk Analysis.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Incredidev9285/Dashboard_PowerBI/HEAD/Customer Risk Analysis.png -------------------------------------------------------------------------------- /02 Customer Churn-Dataset.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Incredidev9285/Dashboard_PowerBI/HEAD/02 Customer Churn-Dataset.xlsx -------------------------------------------------------------------------------- /Customer Churn Dashboard.pbix: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Incredidev9285/Dashboard_PowerBI/HEAD/Customer Churn Dashboard.pbix -------------------------------------------------------------------------------- /Customer Churn Dashboard.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Incredidev9285/Dashboard_PowerBI/HEAD/Customer Churn Dashboard.png -------------------------------------------------------------------------------- /Customer Risk Analysis Dashboard.pbix: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Incredidev9285/Dashboard_PowerBI/HEAD/Customer Risk Analysis Dashboard.pbix -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2024 Christopher 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # **Customer Churn Analysis in Power BI** 2 | 3 | ## This project uses Power BI Desktop and Excel to help businesses prevent customer loss and improve customer service. 4 | 5 | ## **Key Features:** 6 | 📌 Predictive Churn Modeling: Identify at-risk customers before they churn, enabling proactive interventions and retention strategies. 7 | 8 | 📌 Customer Segmentation: Group customers based on shared characteristics and churn risk, allowing for targeted marketing and engagement efforts. 9 | ![Customer Churn Dashboard](https://github.com/DataVizExpert-Sham/Predictive-Customer-Analytics-in-Power-BI/assets/151017676/e91b9651-b26e-4ca0-af99-feb91311f5dd) 10 | 11 | ## **Built with:** 12 | 1. Power BI Desktop 13 | 2. Excel 14 | 15 | ## Key Insights: 16 | ![key insights](https://github.com/DataVizExpert-Sham/Predictive-Customer-Analytics-in-Power-BI/assets/151017676/af60d484-23ad-4c03-ad5a-fc9af7ea0af4) 17 | 18 | 19 | ## **Benefits:** 20 | 1. Reduce customer loss: Identify and help customers at risk to keep them longer. 21 | 2. Improve customer satisfaction: Understand customer needs better for better service. 22 | 3. Make data-driven decisions: Use insights to make better choices for keeping customers happy. 23 | ![Customer Risk Analysis](https://github.com/DataVizExpert-Sham/Predictive-Customer-Analytics-in-Power-BI/assets/151017676/17438de8-0003-488f-8c98-5e2e918bd4b7) 24 | 25 | ## **Beyond the Dashboard: Communication for Impact** 26 | Besides making great dashboards, I also help clients understand the data and make smart decisions with it. By sending clear emails, 27 | I: 28 | - Shared important findings: Summarized data nicely focusing on what matters. 29 | - Tailored messages: Adjusted my language to match the client's knowledge level. 30 | - Suggested actions: Gave specific advice on what to do next. 31 | ![Email](https://github.com/DataVizExpert-Sham/Predictive-Customer-Analytics-in-Power-BI/assets/151017676/bfa991d6-c901-4a80-b43b-f8a8c8c54aeb) 32 | 33 | 34 | **Get Started:** 35 | 1. Get the project files. 36 | 2. Open the Customer Churn Dashboard.pbix & Customer Risk Analysis Dashboard.pbix in Power BI Desktop. 37 | 3. Connect to your data source. 38 | 4. Start improving customer retention! 39 | 40 | Use data insights and Power BI dashboards to keep customers happy and engaged. Note: This version highlights the project's benefits for businesses and includes a clear call to action. 41 | --------------------------------------------------------------------------------