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Sales and Revenue Analysis Dashboard
The Sales Analysis Dashboard is an interactive data analytics project developed using Python, Pandas, NumPy, Plotly and Streamlit. It transforms raw sales transaction data into meaningful business insights through interactive visualizations, KPI monitoring, customer analysis and product performance reports. The project demonstrates how data analytics can help businesses understand revenue trends, evaluate profitability, identify high-performing products and make informed business decisions.
Project Milestone 1: Sales & Revenue Analysis Dashboard
Analyze sales data to identify revenue trends, top-performing products, customer purchasing patterns, and business performance. Build an interactive dashboard using Power BI, Tableau, Excel, or Python to present key insights and data-driven recommendations.
Project Milestone 2: Customer Segmentation Analysis
Analyze customer data to identify meaningful customer groups based on purchasing behavior and other available characteristics. Use RFM analysis, clustering, or other appropriate analytical methods to understand customer segments and recommend data-driven marketing and business strategies.
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