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https://github.com/arnabsaha7/techretail-sales-analysis


https://github.com/arnabsaha7/techretail-sales-analysis

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# TechRetail Azure Data Pipeline Analysis



![Databricks](https://img.shields.io/badge/Databricks-Platform-red?style=for-the-badge&logo=databricks&logoColor=red&labelColor=black)

![Delta Table](https://img.shields.io/badge/Delta%20Table-v0.8.0-blue?style=for-the-badge&logo=apache-spark&logoColor=blue&labelColor=black)

![Python](https://img.shields.io/badge/Python-ipynb-yellow?style=for-the-badge&logo=python&logoColor=blue&labelColor=black)

![Microsoft Fabric](https://img.shields.io/badge/Microsoft%20Fabric-PowerBI-Green?style=for-the-badge&logo=powerbi&logoColor=yellow&labelColor=black)



This project, **TechRetail Azure Data Pipeline Analysis**, provides a robust analysis of retail data via an Azure-based data pipeline. Leveraging Power BI and Databricks, it delivers interactive visualizations and insightful data workflows, covering key performance metrics and customer insights.



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## 📂 Repository Structure



- **📊 PowerBI/**: Includes the Power BI report template (`.pbix`) with interactive dashboards and visualizations.

- **📑 PPT/**: Contains the main presentation file (`TechRetail_AzureDataPipeline.pptx`) and a PDF version summarizing the project findings.

- **📓 Notebook/**: A Databricks notebook that documents the data preprocessing, analysis, and insights generation process.



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## 📈 Dashboard Preview



![Dashboard Image](img/dashboard.png)



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## 🔍 Analysis Highlights



Below is a collection of key insights from the analysis:



| ![Total Sales Per Quarter Per Year](img/image1.png) 
 **Total Sales Per Quarter Per Year** | ![Distribution of Transaction Amounts](img/image2.png) 
 **Distribution of Transaction Amounts** | ![Top Selling Products by Total Sales](img/image3.png) 
 **Top Selling Products by Total Sales** |

|------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|

| ![Total Purchases vs Total Amount](img/image4.png) 
 **Total Purchases vs Total Amount** | ![Correlation Heatmap](img/image5.png) 
 **Correlation Heatmap** | ![Total Sales Growth Per Year](img/image6.png) 
 **Total Sales Growth Per Year** |



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## 📁 File Details



### 1. Power BI Template

The **PowerBI** folder includes a `.pbit` template for creating dynamic visualizations and insights. Key sections in the dashboard:

- **Sales Metrics**: KPIs on sales performance.

- **Regional Analysis**: Geographical insights to optimize strategy.

- **Customer Segmentation**: Visual breakdowns of customer demographics.



### 2. Presentation

In the **PPT** folder:

- `TechRetail_AzureDataPipeline.pptx`: A structured presentation covering the project overview, methodology, insights, and conclusions.

- `TechRetail_AzureDataPipeline.pdf`: A PDF version for easy sharing.



### 3. Databricks Notebook

The **notebook** file provides:

- Detailed data preprocessing and feature engineering steps.

- Exploratory Data Analysis (EDA) for uncovering trends and patterns.

- Code documentation for reproducibility.



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## 🚀 Getting Started



To view and explore the files:

1. **Power BI Report**: Open the `.pbit` file in Power BI Desktop.

2. **Presentation**: Access the PowerPoint or PDF for a concise overview.

3. **Databricks Notebook**: Open in Databricks to explore the analytical workflow.



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## ⚙️ Prerequisites

- **Power BI Desktop** for viewing the `.pbit` template.

- **Azure Subscription** for utilization of resources

- **Databricks Environment** with necessary libraries.



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## 📬 Contact

For questions or collaboration inquiries, reach out through my [GitHub profile](https://github.com/arnabsaha7) or via [Email](mailto:[email protected]).