This project provides an in-depth analysis of sales data using Tableau, showcasing key insights into revenue trends, customer behavior, and product performance. The dashboard enables stakeholders to make data-driven decisions by visualizing sales metrics across dimensions such as time, geography, and customer demographics.
- Revenue Analysis: Drill down by time period, location, and product category to identify top-performing segments.
- Customer Segmentation: Identify high-value and frequent buyers, offering insights for personalized marketing.
- Sales Trends: Visualize sales patterns and seasonality to optimize inventory and promotions.
- Product Performance: Track best-selling and underperforming products to improve stock management.
- Database: MySQL – to store and manage raw sales data.
- Data Visualization: Tableau – to create interactive dashboards for data insights.
Sales_Insights_Project/
├── data/ # Raw sales data and other datasets used in analysis
├── tableau_dashboard/ # Tableau workbooks and packaged dashboards
├── README.md # Project documentation
└── assets/ # Images or visuals used in the README or documentation