https://github.com/thomas-nyanumba/adidas-us-sales-analysis-power-bi-project
Application of Power BI Concepts and Tools
https://github.com/thomas-nyanumba/adidas-us-sales-analysis-power-bi-project
dashboard datamodeling datatransformation dax dax-expression dax-functions dax-query deployment measures onetomanymappingunidirectional pipelines powerbi-desktop powerbi-report powerbi-visuals powerquery reporting starschema visualization
Last synced: 3 months ago
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Application of Power BI Concepts and Tools
- Host: GitHub
- URL: https://github.com/thomas-nyanumba/adidas-us-sales-analysis-power-bi-project
- Owner: Thomas-Nyanumba
- Created: 2024-11-19T01:50:19.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-11-21T23:04:45.000Z (7 months ago)
- Last Synced: 2025-02-08T22:27:56.861Z (4 months ago)
- Topics: dashboard, datamodeling, datatransformation, dax, dax-expression, dax-functions, dax-query, deployment, measures, onetomanymappingunidirectional, pipelines, powerbi-desktop, powerbi-report, powerbi-visuals, powerquery, reporting, starschema, visualization
- Language: Jupyter Notebook
- Homepage: https://www.linkedin.com/in/thomasnyanumba
- Size: 4.03 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Adidas US Sales Analysis Power BI Project
## Introduction
This project was developed during my **Analytics Extra mentorship program** :㊗️, aimed at enhancing my data analytics and business intelligence skills. The focus was on creating a visually engaging and interactive dashboard to analyze Adidas US sales data. Leveraging Power BI, I incorporated advanced data modeling, data transformation, and report design techniques.
This repository showcases the steps I took to reproduce the project, from data preparation to deploying the dashboard on Microsoft Fabric.
---
## Problem Statement
Adidas needs a comprehensive dashboard to monitor sales performance across various products, regions, and retailers in the United States. The goal was to:
1. Identify top-performing regions, products, and sales channels.
2. Provide actionable insights into sales trends, profitability, and operational efficiency.
3. Enable stakeholders to interact with the data dynamically and intuitively.
---
## Skills and Concepts Applied
- **Power Query:** Data cleaning and transformation.
- **Data Modeling:** Created a star schema with 3 dimension tables and 1 fact table.
- **Data Analysis Expressions (DAX):** Developed measures and calculated columns for dynamic insights.
- **Interactive Dashboard Design:** Designed multiple pages (Home Page, Product Page, Deep Insights Page, and Tooltips) for intuitive navigation.
- **Microsoft Fabric:** Published the dashboard and implemented deployment pipelines (development, testing, and production stages).
- **Visualization Best Practices:** Used color schemes, slicers, and interactive visuals to enhance the user experience.
---
## Data Overview
The dataset included three tables in an Excel workbook:
1. **Data Sales Adidas (Fact Table):**
- Fields: Retailer, Retailer ID, Invoice Date, Location Key, Product, Price Per Unit, Units Sold, Total Sales, Operating Profit, Operating Margin, Sales Method.
2. **Product (Dimension Table):**
- Fields: Product, Image URL.
3. **Location (Dimension Table):**
- Fields: Region, State, City, Location Key.
---
### **Data Model**
The final data model was a star schema with the following relationships:
- Fact Table: `Data Sales Adidas`.
- Dimension Tables: `Product`, `Location`, and a Date Table (created using DAX).
- Relationships: One-to-Many relationships connecting the fact table to the dimension tables.
---
## Dashboard Overview
### **1. Home Page**
- Overview of the dashboard with a slicer for region-based filtering.
- Interactive map showing sales performance by state.
### **2. Product Page**
- Dynamic visualizations of product-level performance.
- A slicer for filtering products with an interactive display of product images.
### **3. Deep Insights Page**
- Detailed analysis of profitability and sales trends.
- Visualizations included bar charts, line graphs, and KPIs.
### **4. Tooltip Pages**
- Contextual insights embedded within visuals.
- Hover-over details for granular exploration.
---
## Results and Analysis
Key insights derived from the dashboard:
1. **Top States:** Identified regions with the highest total sales and profitability.
2. **Product Trends:** Analyzed best-selling products and their contribution to revenue.
3. **Retailer Insights:** Compared sales performance across different retailers.
These insights enabled Adidas to focus on high-performing regions and optimize inventory management.
---
## Deployment
The dashboard was deployed to Microsoft Fabric using the following stages:
1. **Development Stage:** Initial version of the dashboard for internal testing.
2. **Testing Stage:** Conducted user acceptance testing to validate performance.
3. **Production Stage:** Published the final version for stakeholders and generated a public sharing link [here](https://app.powerbi.com/view?r=eyJrIjoiNGQ5YzZhMWMtNmJkOS00ODYxLWI0N2QtNDdhNDU4NzI2ZTkyIiwidCI6IjgwZTliY2Y3LTczYTYtNGI5OS1iZWFkLTA2MmNmZjE2MmY5NiJ9).
---
## Conclusion
This project demonstrated the power of interactive dashboards in providing actionable insights for businesses. By utilizing Power BI and Microsoft Fabric, I created a professional-grade dashboard that is dynamic, visually appealing, and insightful.
---
## Recommendations
1. **Expand Analysis:** Incorporate additional datasets, such as customer demographics, for a more holistic analysis.
2. **Predictive Analytics:** Implement machine learning models to forecast future sales trends.
3. **Automation:** Automate data updates using Microsoft Power Automate for real-time insights.
---
## Repository Contents
1. **Power BI File:** [Download the .pbix file](https://github.com/Thomas-Nyanumba/Adidas-US-Sales-Analysis-Power-BI-Project/blob/main/Adidas%20Sales%20Data%20Analysis.pbix).
2. **Dataset:** [Download the Excel dataset](https://github.com/Thomas-Nyanumba/Adidas-US-Sales-Analysis-Power-BI-Project/blob/main/Adidas%20US%20Datasets...xlsx).
3. **Screenshots:** All visuals included in this report.
4. **Public Dashboard Link:** [Access the published dashboard here](https://app.powerbi.com/view?r=eyJrIjoiNGQ5YzZhMWMtNmJkOS00ODYxLWI0N2QtNDdhNDU4NzI2ZTkyIiwidCI6IjgwZTliY2Y3LTczYTYtNGI5OS1iZWFkLTA2MmNmZjE2MmY5NiJ9).
---
## Contact
Feel free :😃 to connect with me on LinkedIn or explore my GitHub profile for more projects:
- [LinkedIn Profile](https://www.linkedin.com/in/thomasnyanumba) or email thomas.nnyanumba.com