Sales Analysis With Budget Management

Abstract

1. Introduction

The Sales overview dashboard is an interactive real-time sales analysis dashboard fulfilling the first business request of migration from static reports to interactive reports.

2. Objective

Business Analysis project related to Realtime Product Sales Analysis

This project demonstrates how Power BI can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ankitkash101/Sales-Analysis-with-Budget-Management.git
cd Sales-Analysis-with-Budget-Management

1. Power BI Desktop is used which is an open source Data Visualization software created by Microsoft as part of the Microsoft Business Intelligence Toolkit.
2. Microsft SQL Server, a relational database management system developed by Microsoft is used for Data Storage, Retrieval and data transformation.
3. Microsoft SQL Server Management Studio, a software application first launched with Microsoft SQL

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by ankitkash101 and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.