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https://github.com/rakumar99/sales-dashboard-using-excel

This repository contains Sales Dashboard Using Excel where it will analyze various sales Performance Categories.
https://github.com/rakumar99/sales-dashboard-using-excel

conditional-formatting dashboards excel pivot-chart pivot-tables vlookup

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This repository contains Sales Dashboard Using Excel where it will analyze various sales Performance Categories.

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# Sales-Dashboard-Using-Excel



Sales Performance Dashboard



### Project Description:



This project is an Excel-based Sales Performance Dashboard designed to provide a comprehensive overview of a company's sales data. The dashboard offers insights into various aspects of sales, including trends over time, sales by geographic region, customer segmentation, and product performance. It is an essential tool for understanding business performance and making data-driven decisions.



### Key Features:



Sales Trends:



Tracks sales performance over time (monthly and yearly).

Identifies peaks and troughs in sales activity, helping to optimize marketing and operational strategies.



Sales by State:



Visualizes sales distribution across different states.

Helps identify high-performing regions and areas with potential for growth.



Sales by Segmentation:



Analyzes sales by customer segments, such as Consumer, Corporate, and Home Office.

Provides insights into which customer groups generate the most revenue.



Product Share:



Breaks down sales by major product categories such as Furniture, Office Supplies, and Technology.

Highlights which product lines are the top performers.



Sales by Sub-Categories:



Delves deeper into sales within product categories by exploring sub-categories like Chairs, Tables, Storage, and more.

Helps in understanding the performance of specific products.



### Data Overview:



The project uses a detailed sales dataset with the following fields:



Order ID: Unique identifier for each sales transaction.



Order Date: The date of the transaction.



Customer Information: Includes customer ID, name, and segment.



Product Information: Contains product ID, name, category, and sub-category.



Sales Data: Includes sales amount, region, and state, helping to map out sales performance across different regions.



The dataset is organized to enable easy analysis of both individual transactions and aggregated sales data.



### Insights Delivered:



Trend Analysis: Shows how sales fluctuate over time, identifying seasonal trends and opportunities for growth.



Geographical Analysis: Provides a clear view of how sales are distributed across different states and regions.



Customer Segmentation: Helps to prioritize marketing efforts towards high-revenue customer groups.



Product Analysis: Highlights best-performing products and sub-categories, offering valuable insights for inventory and marketing strategies.



### Technologies Used:



Microsoft Excel: Used for data analysis and visualization through pivot tables, charts, and dashboards.



### How to Use the Dashboard:



Download the Excel file from this repository.



Open the Excel workbook and navigate through the different sheets to explore various sales insights



Sales Trends: View the overall trend in sales over time.



Sales by State: Analyze how sales vary by state.



Sales by Segmentation: Discover the sales contribution of different customer segments.



Product Share and Sub-Categories: Break down sales by product categories and sub-categories to identify top performers.



Use the dashboard for reporting and decision-making based on real-time sales data.