AdebiyiDeborah/MTN-Nigeria-Customer-Churn-Intelligence-Dashboard.

Build an end-to-end churn intelligence dashboard that identifies why customers leave, quantifies the revenue impact of churn, and segments risk across device, demographic, and geographic dimensions — enabling data-driven retention strategy. # MTN-Nigeria-Customer-Churn-Intelligence-Dashboard. Build an end-to-end churn intelligence dashboard that identifies why customers leave, quantifies the revenue impact of churn, and segments risk across device, demographic, and geographic dimensions — enabling data-driven retention strategy. ## Project Overview Customer retention is one of the biggest challenges in Nigeria's highly competitive telecommunications industry. With operators such as MTN, Airtel, Glo, and 9mobile competing for the same customers, understanding why customers leave and which customer segments are most at risk is critical to protecting revenue. The **MTN Nigeria Customer Churn Intelligence Dashboard** is an interactive Power BI project developed to analyze customer churn across demographics, devices, subscription plans, revenue, geography, customer satisfaction, and churn reasons. The analysis uses a dataset containing **496 customers** and transforms customer-level data into an executive-ready dashboard designed to help stakeholders identify churn drivers and prioritize retention strategies. --- ## Business Problem MTN Nigeria operates in a market characterized by: * Intense price competition * Price-sensitive customers * Network quality concerns * Competitive offers from other telecom providers * Customer service challenges The central business question addressed by this project is: > **Why are MTN customers leaving, and which customer segments should MTN prioritize to reduce churn?** The analysis aims to move churn from being a lagging metric that businesses react to into a business signal that can guide proactive retention decisions. --- ## Project Aim To build an interactive Power BI dashboard that identifies major customer churn drivers, quantifies their potential business impact, and provides actionable insights for targeted customer retention strategies. --- ## Project Objectives The analysis was designed to: 1. Determine the overall customer churn rate. 2. Analyz …