https://github.com/m-coder-umer/sales-dashboard-power-bi-project
An interactive Sales Dashboard built with Power BI using MySQL data, showcasing monthly trends, top-performing products, and key sales KPIs (Key Performance Indicators).
https://github.com/m-coder-umer/sales-dashboard-power-bi-project
business-intelligence data-analysis data-cleaning data-modeling data-visualization dax interactive-dashboard mysql power-query powerbi sales-dashboard sql time-series-analysis
Last synced: 12 months ago
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An interactive Sales Dashboard built with Power BI using MySQL data, showcasing monthly trends, top-performing products, and key sales KPIs (Key Performance Indicators).
- Host: GitHub
- URL: https://github.com/m-coder-umer/sales-dashboard-power-bi-project
- Owner: M-codeR-UMER
- Created: 2025-06-29T13:49:41.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-06-29T14:16:14.000Z (12 months ago)
- Last Synced: 2025-06-29T14:36:35.137Z (12 months ago)
- Topics: business-intelligence, data-analysis, data-cleaning, data-modeling, data-visualization, dax, interactive-dashboard, mysql, power-query, powerbi, sales-dashboard, sql, time-series-analysis
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Sales Dashboard - Power BI Project
This project features an interactive and dynamic **Sales Dashboard** built using **Power BI**. The underlying data was sourced from a MySQL database, queried using **MySQL Workbench**, and then modeled, cleaned, and visualized in Power BI using DAX measures and calculated columns.
---
## 📁 Dataset
The data was imported from a structured **MySQL database** (see `db_dump.sql`). It includes information related to:
- Sales transactions
- Products and categories
- Customer details
- Dates and order timelines
---
## 📚 Data Source
This project's data was sourced from the [Sales Insights Project](https://codebasics.io/resources/sales-insights-data-analysis-project) by [Codebasics](https://codebasics.io/).
The original database dump (`db_dump.sql`) is publicly available for educational and non-commercial use.
---
## 📌 Key Features
- 📅 **Monthly Sales Trends** – Time-series breakdown of revenue across months
- 🛒 **Top Performing Products** – Based on total sales and order frequency
- 🌍 **Geographical Sales Insights** *(if included in your data)*
- 📈 **Category-wise Revenue Analysis**
- 🎯 **KPIs** – Total Sales, Number of Orders, Average Order Value, Repeat Customers, etc.
- 📊 **Interactive Filters** – Slicers by category, product, date range, and customer
---
## 🛠 Tools & Technologies Used
- **Power BI Desktop**
- **MySQL Workbench** (for querying the database)
- **DAX (Data Analysis Expressions)** for calculated fields and measures
---
## 🧠 Challenges Faced
- Exploring and mastering Power BI’s canvas layout for professional storytelling
- Writing efficient and accurate **DAX formulas** to generate metrics
- Designing a dashboard that is **visually intuitive** and **analytically rich**
---
## 💡 Learnings
This project enhanced my understanding of data visualization best practices, efficient data modeling, and the power of combining SQL with BI tools to extract interactive business insights.
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## 📂 Project Structure
```text
├── Sales-Dashboard.pbix # Power BI file
├── db_dump.sql # MySQL database dump file
└── README.md # Project overview
```
---
### 📊 Dashboard Overview
#### 📌 Page 1 – Overall Performance and Distribution
#### 📌 Page 2 – Top Performing Products and Category Sold
#### 📌 Page 3 – Revenue & Sales Distribution Over Time
---