https://github.com/yash3972/bikesalesdataanalysis

This project leverages Power BI, SQL, and Excel to analyze sales data and generate interactive dashboards. The goal is to extract key business insights, monitor performance using KPIs, and visualize trends for effective decision-making.
https://github.com/yash3972/bikesalesdataanalysis

excel powerbi powerquery sql

Last synced: 6 months ago
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This project leverages Power BI, SQL, and Excel to analyze sales data and generate interactive dashboards. The goal is to extract key business insights, monitor performance using KPIs, and visualize trends for effective decision-making.

• Host: GitHub
• URL: https://github.com/yash3972/bikesalesdataanalysis
• Owner: yash3972
• Created: 2025-03-05T14:17:50.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-15T06:40:02.000Z (over 1 year ago)
• Last Synced: 2025-03-15T07:24:21.211Z (over 1 year ago)
• Topics: excel, powerbi, powerquery, sql
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# **Power BI Sales Analysis Dashboard**

![Dashboard Preview](Dashboard.png)

## **Project Overview**

This project leverages **Power BI, SQL, and Excel** to analyze sales data and generate interactive dashboards. The goal is to extract key business insights, monitor performance using KPIs, and visualize trends for effective decision-making.

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## **Tools Used**

- **Power BI** – For data visualization and dashboard creation  

- **SQL** – For data extraction and transformation  

- **Excel** – For data cleaning and pre-processing  

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## **Project Workflow**

### **1. Data Collection & Cleaning**

- Imported data from **Excel** and **SQL databases**  

- Checked for missing values and handled inconsistencies  

- Converted data types for better analysis  

### **2. Data Transformation (SQL & Power Query)**

- Used **SQL queries** to filter and aggregate data  

- Applied **Power Query** for data transformation and modeling  

### **3. Data Modeling**

- Established relationships between different tables  

- Optimized data structure for efficient reporting  

### **4. Dashboard Creation & KPI Visuals**

- Designed an **interactive dashboard** to track **total revenue, total orders, average order value, and sales by category**  

- KPI trends over time are displayed for **better insights into sales performance**  

- Used various **visuals** such as bar charts, line graphs, pie charts, and maps to analyze revenue trends, customer segments, and product performance  

### **5. Insights & Key Findings**

- Identified **top-selling products** and underperforming categories  

- Analyzed **peak sales periods** and seasonal trends  

- Segmented **customer groups** based on purchasing behavior  

- Provided **recommendations** to improve sales and marketing strategies  

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## **Conclusion**

This project demonstrates how **Power BI, SQL, and Excel** can be used together for **business intelligence** and data-driven decision-making. The interactive dashboard helps businesses monitor **key metrics**, track sales trends, and optimize revenue strategies.

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## **Future Enhancements**

- Integrating **real-time data updates**  

- Adding **forecasting models** for revenue prediction  

- Enhancing **dashboard UI/UX** for better accessibility