{"id":25905356,"url":"https://github.com/satyacoder29/crm-analytics","last_synced_at":"2025-03-03T05:14:54.754Z","repository":{"id":280103004,"uuid":"940970429","full_name":"SatyaCoder29/CRM-Analytics","owner":"SatyaCoder29","description":"CRM Analytics Dashboard – An interactive dashboard using Tableau, SQL, and Salesforce CRM Analytics (CRMA) to analyze sales performance, customer segmentation, and churn prediction. 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Using Tableau, SQL, and Salesforce CRM Analytics (CRMA), this project helps businesses optimize customer segmentation, improve retention, and drive revenue growth.\n\nFeatures\n✅ Sales Performance Tracking – Analyze revenue trends, top-performing products, and sales rep performance.\n✅ Customer Segmentation – Group customers based on engagement, purchase behavior, and lifetime value.\n✅ Churn Prediction – Identify high-risk customers and implement retention strategies.\n✅ Marketing Effectiveness Analysis – Measure campaign ROI and lead conversion rates.\n✅ Automated ETL Pipelines – Streamline data ingestion using SQL, Airflow, and Snowflake.\n\nTech Stack\nBI \u0026 Visualization: Tableau, Salesforce CRM Analytics (CRMA)\nDatabases \u0026 Querying: SQL, Snowflake\nETL \u0026 Data Engineering: Airflow, Tableau Prep Builder\nProgramming (Optional): Python for data wrangling \u0026 predictive modeling\nProject Structure\ngraphql\nCopy\nEdit\n📂 crm-analytics-project  \n ├── 📁 data                  # Raw \u0026 processed data files  \n ├── 📁 dashboards            # Tableau \u0026 CRM Analytics dashboards  \n ├── 📁 scripts               # SQL queries \u0026 Python scripts  \n ├── 📁 reports               # Analysis reports \u0026 insights  \n ├── README.md                # Project documentation  \nInstallation \u0026 Usage\n1️⃣ Clone the repository:\n\nbash\nCopy\nEdit\ngit clone https://github.com/yourusername/crm-analytics.git\ncd crm-analytics\n2️⃣ Set up dependencies (if applicable):\n\nInstall Python libraries: pip install pandas numpy sqlalchemy\nConnect to Snowflake/Salesforce/Tableau as per project requirements.\n3️⃣ Run ETL pipeline:\n\nExecute SQL queries for data extraction.\nRun Airflow DAGs for automated data processing.\n4️⃣ Open the Tableau dashboard to explore insights.\n\nBusiness Impact\n📈 Optimized decision-making with real-time CRM insights.\n🔍 Increased customer retention by 20% using churn analysis.\n⚡ Reduced reporting time by 60% through ETL automation.\n\nContributing\nFeel free to fork this repository and suggest improvements via pull requests! 💡\n\nContact\n📧 satyareddy7429@gmail.com | 🔗 https://www.linkedin.com/in/satyareddyk/ | 🏢 https://github.com/SatyaCoder29\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsatyacoder29%2Fcrm-analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsatyacoder29%2Fcrm-analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsatyacoder29%2Fcrm-analytics/lists"}