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https://github.com/iankitnegi/excel_sales_dashboard
https://github.com/iankitnegi/excel_sales_dashboard
Last synced: 13 days ago
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- Host: GitHub
- URL: https://github.com/iankitnegi/excel_sales_dashboard
- Owner: iankitnegi
- Created: 2023-10-12T17:23:11.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-12T17:11:22.000Z (26 days ago)
- Last Synced: 2024-12-12T18:23:27.559Z (26 days ago)
- Size: 3.38 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Excel Sales Analysis Dashboard
### Overview:
This Excel-based sales dashboard provides insights into sales performance, profit trends, and other key metrics. Built with dynamic visualizations and detailed data analysis, it enables users to make informed business decisions.### Components:
- WireFrame:
- A layout plan for the dashboard design.
- Provides a blueprint of visual elements and their arrangement.
- RawData:
- Contains detailed transactional sales data.
- Includes information like Order ID, Customer Details, Product, Category, Sales, Profit, and more.
- This serves as the base dataset for all calculations and visualizations.
- Source:
- (Explain content here if required, depending on its usage.)
- Working:
- Features summary calculations and trend analysis.
- Key metrics include:
- Yearly Sales and Profit Summaries.
- Comparisons with previous years (e.g., Sales Vs PY and Profit Vs PY).
- Dashboard:
- A visually interactive interface presenting:
- Total Sales and Profit.
- Year-over-Year growth trends.
- Top-performing categories, regions, or products.
- Dynamic filtering options for granular insights.### How to Use:
- Data Refresh:
- Update the RawData sheet with new transactions to refresh the dashboard.
- Interactive Features:
- Utilize slicers and filters for customized views.
- Analyze KPIs like growth percentages and category-wise performance.
- Customization:
- Modify the Working sheet for additional calculations or KPIs.
- Adjust visualizations in the Dashboard sheet as per business requirements.### Key Features:
- Comprehensive Visualization: Sales and profit metrics displayed through charts and tables.
- Trend Analysis: Year-over-year comparisons to track growth.
- Ease of Use: Update data and refresh insights with minimal effort.
- Customizable: Easily adaptable to include additional metrics or filters.