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CRM Sales Pipeline Analysis

Business Problem: Analyzed 2,000+ CRM opportunities to identify sales performance patterns, optimize pipeline management, and provide data-driven insights for revenue growth and strategic decision-making.

📈 Business Impact Questions & Results

Question Key Result
📊 Pipeline Optimization What does my current sales pipeline look like and how can it be optimized? 🏆 867 active opportunities identified across the sales pipeline
28.9% of all records are in "Opportunity" stage—providing clear visibility into conversion potential and resource allocation needs
Top markets: Italy (173), Germany (124)
📈 Revenue Forecasting What is the sales forecast accuracy for strategic planning? 💰 $2.3M total opportunity value in current pipeline
Progressive quarterly growth pattern from Q1 to Q4 based on expected close dates
Transparent gross pipeline approach enables data-driven revenue planning without probability weighting
🎯 Performance Benchmarking What are the actual win rate benchmarks for competitive positioning? 📊 9.6% overall win rate with significant performance variance between markets
Belgium leads at 16.9%, followed by Germany (10.5%) and Italy (10.4%)
83 total wins across all opportunities—enabling targeted improvement strategies
🧩 Product-Market Optimization Which product-market combinations offer the highest revenue potential? 🚀 SAAS: $961K identified as top revenue opportunity
Services: $847K and Custom solution: $488K complete the product portfolio
Three active products represent concentrated opportunity focus for sales prioritization

💡 Strategic Solutions for Business Growth

🛠️ Technologies Used

Python Tableau Postgres Jupyter Notebook Visual Studio Code SQL DBeaver Google Sheets Mermaid JS Google Workspace Anaconda Cloud Microsoft Excel Markdown GitHub Git Figma Apple Numbers Presenti.ai Seaborn Pandas NumPy Matplotlib

🚀 Live Dashboard

View the Interactive Tableau Dashboard

🗺️ Project Workflow

Workflow Diagram

📖 Technical Documentation

SQL Business Question
SQL Business Question
Win Rates
Win Rates
Forecast
Expected Sales Forecast
Number of Opportunities
Number of Opportunities

Supporting Resources

  • Business Impact Analysis src/impact_questions.ipynb
    Jupyter notebook analyzing pipeline optimization, forecasting, benchmarking, and product-market insights from 867 opportunities.

  • Data Cleaning src/data_cleaning.ipynb
    Notebook for deduplication, missing-value handling, type conversion, and standardization of the 3,000-record CRM dataset.

  • SQL Queries src/business_analysis_queries.sql
    Queries for pipeline snapshots, sales forecasts, closure-time analysis, win-rate calculations, and regional performance.

  • Dashboard Visualizations src/CRM-and-Sales-Pipelines.twbx
    Tableau workbook with interactive dashboards for pipeline health, revenue forecasts, and market/product analysis.

  • Clean Dataset src/CRM-and-Sales-Pipelines_cleaned.csv
    The processed CRM dataset—standardized, cleaned, and ready for analytics.

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