https://github.com/pranee123/supply_chain_dashboard

A Power BI Supply Chain Dashboard for analyzing purchase orders, and inventory transactions using SQL and Power BI. 🚀
https://github.com/pranee123/supply_chain_dashboard

datacleaning mysql-database powerbi visualization

Last synced: 12 months ago
JSON representation

A Power BI Supply Chain Dashboard for analyzing purchase orders, and inventory transactions using SQL and Power BI. 🚀

• Host: GitHub
• URL: https://github.com/pranee123/supply_chain_dashboard
• Owner: pranee123
• License: mit
• Created: 2025-03-08T14:05:13.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-08T14:21:33.000Z (over 1 year ago)
• Last Synced: 2025-03-08T15:19:51.843Z (over 1 year ago)
• Topics: datacleaning, mysql-database, powerbi, visualization
• Homepage:
• Size: 178 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 📊 Supply Chain Power BI Dashboard



## 📌 Overview

This repository contains a **Power BI dashboard** that provides insights into supply chain data, including **customer orders, suppliers, products, and revenue analytics**.

---

## 📂 Files in this Repository  

- **`SupplyChain_Dashboard.pbix`** → The main Power BI dashboard file.  

- **`Dataset_Summary.csv`** → Summary of data sources used in the dashboard.  

- **`DAX_Calculations.md`** → List of all DAX measures used.  

- **`PowerBI_Report.pdf`** → Exported report from Power BI.  

---

## 📊 Dashboard Insights  

### ✅ Key Features:  

- **Top Customers by Revenue**  

- **Best-Selling Products & Suppliers**  

- **Total Discount and Savings Analysis**  

- **Monthly Revenue Trends**  

- **Customer-Supplier Relationship Analysis**  

---

## 📈 Data Sources  

The dashboard is built using **six tables from the Supply Chain database**:  

- **Customer** → Customer details (Name, City, Country)  

- **OrderItem** → Products ordered, quantity, and price  

- **Orders** → Order details and total amount  

- **Product** → Product name, supplier, price  

- **Supplier** → Supplier details  

- **Calendar** → Date-based calculations  

---

## 🛠️ DAX Measures Used  

--DAX

Total Revenue = SUM(Orders[TotalAmount])

Top Customers = 

VAR CustomerRevenue = 

    ADDCOLUMNS(

        SUMMARIZE(Customer, Customer[FirstName]),

        "Revenue", SUMX(RELATEDTABLE(Orders), Orders[TotalAmount])

    )

RETURN

    TOPN(5, CustomerRevenue, [Revenue], DESC)