This project focuses on building a comprehensive Churn Analysis Dashboard tailored for the telecom industry. The dashboard visualizes key performance indicators (KPIs) related to customer retention, offering valuable insights into customer demographics and churn risk. The goal is to empower proactive retention strategies rather than reactive measures.
- Industry Challenge: Retaining customers in the telecom sector is crucial; losing them is costly.
- Proactive Approach: Currently, customer retention efforts begin after contract termination, which is reactionary. This project aims to predict churn risk in advance, enabling timely intervention.
- Visual Insights: Moving away from traditional Excel-based analysis, this dashboard provides clear and actionable insights through intuitive visualizations that are self-explanatory for management.
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KPIs for Customer Retention: The dashboard highlights critical KPIs that are directly linked to customer behavior, satisfaction, and churn risk, allowing the retention team to focus on high-risk customers.
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Customer Demographics and Insights: Visualizations include detailed customer segmentation by demographics, contract type, and usage patterns, helping identify at-risk customer groups.
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Data-Driven Decision Making: By visualizing customer data, the dashboard helps management understand complex patterns, fostering informed decision-making to improve customer retention.
- Developed expertise in defining KPIs specific to customer retention.
- Gained skills in creating visually appealing and insightful dashboards that present customer data in a digestible format for stakeholders.
- Data Processing: Python
- Visualization: Power BI
- Deployment: GitHub Pages
Real-World Impact: This dashboard provides a solution to a critical business challenge faced by telecom companies, making it easier to retain customers before they terminate contracts. Strategic Insight: It showcases how data-driven visualizations can support management in making informed, strategic decisions to boost customer satisfaction and reduce churn. About Me I am passionate about leveraging data analytics and visualization to solve real-world problems. With a strong foundation in data science and a keen eye for detail, I thrive on creating impactful solutions that drive business success. This project is a testament to my ability to analyze complex data, develop actionable insights, and present them clearly to stakeholders.