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nehalshark/DEPI-Team2-Supply-Chain-DataAnalysis

Domain:

socioeconomic

Record type:

project
Creator:
neh
Host:
End-to-end Supply Chain Analysis using Power BI. Part of DEPI Digital Egypt Pioneers Initiative. # DEPI-Team2-Supply-Chain-DataAnalysis # Supply Chain Data Analysis & Optimization Project ## Project Overview This project focuses on analyzing a comprehensive Supply Chain dataset to identify inefficiencies, optimize costs, and enhance overall profitability for a cosmetics and skincare business. As part of the **Digital Egypt Pioneers Initiative (DEPI)**, this analysis provides actionable insights into logistics, supplier performance, and inventory management. ## Project Objectives - **Revenue Optimization:** Identify top-performing product categories and sales trends. - **Logistics Efficiency:** Evaluate shipping carriers and transportation modes based on cost and speed. - **Quality Control:** Monitor supplier reliability through defect rates and lead times. - **Data-Driven Decisions:** Provide a modern dashboard for stakeholders to track real-time KPIs. ## Tech Stack - **Language:** Python 3.x - **Libraries:** Pandas (Data Cleaning), Matplotlib/Seaborn (Visualization), NumPy - **Analysis Tools:** Excel, Power BI - **Version Control:** GitHub ## Dashboard Strategy (UI/UX) Our dashboard follows a **modern, minimalist SaaS-app style** with the following features: - **App-like Experience:** Clean navigation and intuitive grouping of metrics. - **Interactive Interactivity:** Dynamic **Slicers** for *Product Type, Location, Carrier, and Supplier*. - **Three Core Views:** 1. **Executive Overview:** High-level KPIs (Total Revenue, Profit Margin). 2. **Logistics Deep-Dive:** Shipping cost analysis and route efficiency. 3. **Quality & Production:** Supplier defect rates and manufacturing performance. ## Project Structure - `Data/`: Contains the raw `supply_chain_data.csv`. the Claened Data file and Data Dictionary - `Documentation/`: Project documentation. - `Dashboard/`: Dashboard pbix file - `Presentation/`: Final report PDF and pptx - `Media/`: FScreenshots of the dashboard and demo Project Roadmap ## How to Run 1. Clone the repository: `git clone https: …

Visit

github.com

Tags

data-analysisdata-visualizationdaxpower-bi-dashboardpythonsupply-chain

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HESHAM22155/Supply-Chain-Analysis-Depi

HESHAM22155/Supply-Chain-Analysis-Depi

Supply Chain Data Analysis project developed as part of the Digital Egypt Pioneers Initiative (DEPI)