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Telecom Customer Churn Analysis Dashboard 📊
Understanding why customers leave is essential for improving retention and business growth.
In this Power BI dashboard, I analyzed a telecom customer churn dataset to identify key churn drivers, customer demographics, contract types, monthly charges, payment methods, and tenure patterns. The dashboard provides interactive KPIs and visual insights that help businesses make data-driven decisions to reduce customer churn.
Tools Used:
• Power BI
• SQL
• Python (Data Cleaning & Analysis)
Key Skills:
Customer Churn Analysis | Data Cleaning | Data Visualization | KPI Dashboard | Business Intelligence | Interactive Reports | Data Analytics | Business Insights
#PowerBI #DataAnalytics #BusinessIntelligence #CustomerChurn #DashboardDesign #SQL #Python #DataVisualization #BusinessAnalytics #DataAnalyst #PortfolioProject #DataDrivenDecisionMaking
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Sales Performance Dashboard | Power BI
Designed and developed an interactive sales analytics dashboard to help stakeholders monitor revenue, customer growth, product performance, and regional sales trends in one centralized view.
Tools Used:
- Power BI
-Power Query
- DAX
- PowerPoint (wireframing and dashboard planning)
My Contributions:
- Imported and transformed raw sales data using Power Query.
- Built a star schema data model by creating relationships between fact and dimension tables.
Developed DAX measures for:
- Total Sales ($105M)
- Total Quantity Sold (6M units)
- Total Customers (9,191)
- Average Unit Price ($17.6)
- Created Previous Year (PY) metrics and Year-over-Year growth calculations for sales, quantity, and customers.
- Implemented conditional formatting with dynamic color indicators to highlight performance changes.
Dashboard Features:
- Geographic sales analysis using Shape Maps.
- Monthly trends for sales, quantity, pricing, and customer acquisition.
- Customer segment analysis using donut charts.
- Product and country performance rankings using stacked bar charts.
- Interactive filtering for business units and service plans.
Business Impact:
The dashboard provides decision-makers with a single source of truth for tracking sales performance, customer behavior, and regional trends, enabling faster and more informed business decisions.
Data VisualizationMicrosoft Power BIBusiness AnalysisData AnalysisMicrosoft ExcelMicrosoft PowerPoint
Customer Segmentation Using SQL CASE Statements
Used SQL conditional logic to segment records into business categories based on numerical thresholds. Implemented CASE WHEN statements to classify entities into low, medium, and high-value groups, enabling easier downstream analysis and reporting.
Skills Demonstrated:
- SQL
- CASE Statements
- Data Transformation
- Data Categorization
- Business Logic Implementation
- Feature Engineering
Business Value:
Converting continuous metrics into categories allows organizations to simplify reporting, improve customer targeting, and support decision-making processes.
Managing AI usage should feel clear, not complicated. Orvix brings total spend, token usage, model activity, API capabilities, budget progress, and cost monitoring into one clean analytics dashboard. With structured sidebar navigation, tab-based workflows, soft data cards, blue-highlighted charts, and easy-to-scan usage metrics, the interface helps teams understand AI consumption, track spending, and optimize performance with more confidence.
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