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Supply Chain Analysis Dashboard

This project was completed as part of the DataDNA Nov 2024 Dataset Challenge. It involves creating a comprehensive Supply Chain Analysis dashboard using Power BI.

Click on the image to view the interactive Supply Chain Analysis Dashboard!

Supply Chain Analysis Dashboard

Project Overview

The dashboard provides an in-depth analysis across multiple areas of the supply chain, including:

  • Financial Analysis
  • Operations & Quality Analysis
  • Inventory & Production Analysis
  • Individual Product Analysis

This project simulates real-world tasks similar to those in a Data Analyst or Business Analyst role, showcasing advanced Power BI features for dynamic data visualization and analysis.

Key Features

  • Multi-Page Analysis: Separate pages dedicated to Financial Analysis, Operations & Quality, Inventory & Production, and Individual Product Analysis.
  • Drill-Through Functionality: Allows in-depth analysis of individual products.
  • Dynamic Visualizations: Interactive tooltips, charts, and text boxes that respond to user selections.
  • Page Navigation & Filter Bookmarks: Simplified page transitions and filter reset options for a seamless user experience.

Skills and Tools Utilized

  • Power BI: Created engaging and dynamic visualizations, including drill-through features, tooltips, and page navigation.
  • Data Visualization: Showcased key metrics and trends through clear, insightful visuals.

Requirements

This project can be particularly beneficial for data enthusiasts looking to gain practical experience in:

  • Building interactive and dynamic dashboards in Power BI
  • Developing real-world skills relevant to Data Analyst and Business Analyst roles

Download

  1. Download the dataset.
  2. Download the Power BI file.
  3. Make sure you change the data path inside the Power BI file after opening it in the local machine.

Dashboard Walkthrough

Each page provides a focused analysis:

  1. Financial Analysis: Key financial metrics, profitability, and trends.
  2. Operations & Quality Analysis: Insights on quality and operational efficiency.
  3. Inventory & Production Analysis: Stock levels, production metrics, and inventory turnover.
  4. Individual Product Analysis: In-depth view of specific products, accessible through drill-through.