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The Superstore Sales Analysis Dashboard, built using Power BI, provides a comprehensive view of sales performance. It highlights key metrics such as total sales, profit, and trends, offering insights into categories, regions, and customer segments to support data-driven decision-making.

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Sriharima/Super-store-sales-analysis

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This contains the Superstore Sales Analysis Dashboard project, which aims to provide insights into the sales performance of a fictional superstore. The dashboard is created using Power BI and helps users visualize key metrics, identify trends, and make data-driven decisions.

Features 1 Sales Overview: Comprehensive overview of sales, including total sales, profit, and quantity sold. 2 Category Analysis: Detailed analysis of sales by category, sub-category, and product. 3 Regional Performance: Insights into sales performance across different regions and states. 4 Time Series Analysis: Monthly and yearly sales trends. 5 Customer Insights: Analysis of customer segments and their purchasing behavior.

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The Superstore Sales Analysis Dashboard, built using Power BI, provides a comprehensive view of sales performance. It highlights key metrics such as total sales, profit, and trends, offering insights into categories, regions, and customer segments to support data-driven decision-making.

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