This comprehensive dashboard provides valuable insights into retail performance, focusing on key metrics such as total sales, total profit, total quantity, total orders, and profit margin. Through carefully crafted charts, strategic insights, and dynamic slicers, this dashboard offers a user-friendly interface for efficient data analysis.
Experience data-driven decision-making with my meticulously designed AccioJob Retail Analysis Dashboard. Uncover insights, analyze trends, and make informed business decisions effortlessly.
- Total Sales
- Total Profit
- Total Quantity
- Total Orders
- Profit Margin
- Category Quantity Breakdown: Visual representation of quantity distribution across different categories.
- Category Distribution: A detailed chart showcasing the distribution of products across various categories.
- Strategic Insights - Top 5 Subcategories: Analyzing and extracting strategic insights from the top-performing subcategories.
- Strategic Insights - Bottom 5 Subcategories: Assessing and identifying opportunities for improvement from the bottom-performing subcategories.
- Ship Mode: Filter data based on the preferred shipping mode.
- Segment: Analyze data specific to different customer segments.
- Years: Dynamically view data for specific years.
- Region: Filter data based on geographical regions.
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Clone the repository to your local machine.
git clone https://github.com/virajbhutada/AccioJob_Retail_Analysis_Excel.git
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Open the Excel file
Dashboard.xlsx
to access the comprehensive retail analysis dashboard. -
Explore the various sheets, charts, and slicers to gain insights into different aspects of retail performance.
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Sales Metrics: Review the total sales, profit, quantity, orders, and profit margin displayed prominently on the dashboard.
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Visualizations:
- Use the Category Quantity Breakdown and Category Distribution charts for a quick overview of category-wise performance.
- Dive deeper into strategic insights from the top and bottom 5 subcategories to make informed decisions.
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Slicers:
- Utilize slicers to filter data based on ship mode, customer segment, specific years, and geographical regions.
Contributions to enhance the dashboard or fix issues are welcomed. Feel free to submit pull requests.
This project is licensed under the MIT License.
Thank you for using the AccioJob Retail Analysis Dashboard. We hope this tool proves valuable in analyzing and optimizing your retail performance. If you have any questions or feedback, please don't hesitate to reach out.