Which Customers Are Most Likely to Churn? A Telco Case Study in Excel скачать в хорошем качестве

Which Customers Are Most Likely to Churn? A Telco Case Study in Excel

Link to the dataset : https://www.kaggle.com/datasets/blast... Customer churn is one of the biggest challenges for telecom businesses. In this video, I analyze a real-world Telco Customer Churn dataset to understand: • Which customer groups are more likely to leave • How gender, senior citizen status, partner, and dependents impact churn • What business teams can do differently to reduce churn This analysis focuses on turning raw data into clear business insights that decision-makers can act on. 📊 What I do in this video: • Clean and prepare customer data • Analyze churn patterns by key customer demographics • Translate data findings into business-friendly insights This is Part 1 of a complete Customer Churn Analysis case study where I will: ✔ Perform deeper exploratory data analysis ✔ Build an explanatory dashboard to tell a clear churn story ✔ Create an exploratory Power BI dashboard to track churn KPIs 💼 Need this type of analysis for your business? I help companies understand customer behavior, reduce churn, and make data-driven decisions using Power BI & Excel. 📩 Contact: LinkedIn: www.linkedin.com/in/md-zakir-hussain-khan-smb-insights Email: kmdzakir92@gmail.com 🔔 Subscribe to follow the full case study series. #data #dataanalytics #dataanalysis #exceldataanalysis #churn #datamining