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Visualize average discounts, monthly category sales, order quantities by market, and a clean sales flow using Sankey diagrams. These dashboards demonstrate: ✅ Advanced DAX calculations ✅ Clean UI/UX design ✅ Dynamic filtering by year, quarter, category, and region ✅ Visual storytelling with data

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Sales Analysis Power BI Dashboard

This repository contains a comprehensive Sales and Product Analysis Dashboard built with Power BI. The project is designed to visualize complex sales data, providing clear, actionable insights through a clean, interactive, and professional user interface.

Overview

This dashboard provides a deep dive into sales performance, product trends, and market behavior. It is an excellent example of visual storytelling with data, demonstrating advanced DAX calculations and a strong focus on clean UI/UX design.

The dashboard visualizes:

  • Average discounts by product sub-category
  • Monthly sales trends by product category
  • Order quantities distributed by market
  • A clear sales flow from region to category using Sankey diagrams

dashboards-included) Features

The project includes three main dashboard pages, each tailored for a specific analytical purpose:

1. Executive Summary

  • High-Level KPIs: Sleek visual indicators for key metrics (Total Sales, Profit, etc.).
  • Performance Overview: Quick insights into sales performance by region and category.
  • Professional UI: Designed for business decision-makers and stakeholders.

2. Sales Analysis

  • Trend Analysis: Tracks total sales and profits with dynamic filters for year and quarter.
  • Geographic & Market Breakdowns: Analyzes sales by state, market, and order priority.
  • Customer Insights: Drills down to customer-level sales data.

3. Product Analysis

  • Product Performance: Visualizes average discounts and order quantities by sub-category.
  • Sales Flow: Uses a Sankey diagram to illustrate the sales flow from region to product category.
  • Category Trends: Tracks monthly sales and quantities ordered by category.

Key Technical Features

  • Advanced DAX: Utilizes complex DAX measures to create dynamic and insightful metrics.
  • Data Modeling: Implements data modeling with relationships to connect different data sources effectively.
  • Dynamic Filtering: Features interactive slicers for Year, Quarter, Category, and Region.
  • Rich Visuals: Employs a variety of visuals, including Pie, Bar, Line, and Sankey charts, to tell a compelling story.
  • Power Query Editor: Used for data transformation and preparation.

📷 Dashboard Preview

Executive Summary Sales Analysis Product Analysis
Executive Summary Sales Analysis Product Analysis

🛠️ Tools Used

  • Microsoft Power BI Desktop
  • DAX (Data Analysis Expressions)
  • Power Query (M Language)

🚀 Getting Started

To use this dashboard:

  1. Clone the repository:

    git clone [https://github.com/dot-css/Sales-Analysis-Power-BI-Dashboard.git](https://github.com/dot-css/Sales-Analysis-Power-BI-Dashboard.git)
  2. Open the file:

  3. Interact with the data:

    • Use the slicers and filters to explore the data.
    • Click on visuals to cross-filter other elements on the page.

📄 Data Source

The dashboard is built using the "Superstore" dataset, a common sample dataset used for sales analysis.

License

This project is not currently licensed. Please contact the repository owner for permissions regarding use or distribution.

📬 Contact

For collaborations or freelance Power BI projects, you can reach out to the repository owner at [email protected].

About

Visualize average discounts, monthly category sales, order quantities by market, and a clean sales flow using Sankey diagrams. These dashboards demonstrate: ✅ Advanced DAX calculations ✅ Clean UI/UX design ✅ Dynamic filtering by year, quarter, category, and region ✅ Visual storytelling with data

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