Power BI Sales Analysis Dashboard
The repository contains a Power BI project that provides a comprehensive sales analysis dashboard. The dashboard offers insightful visualizations and interactive reports to analyze a store sales data, identify trends, and make data-driven decisions to optimize sales performance.
- Home : Visualize key sales metrics such as revenue, units sold, and profit, providing a holistic view of sales performance.
- Sales analysis: Analyze sales data by days, weeks, month, quarter and year, identifying high-performing period and potential growth opportunities.
- Product analysis: Explore sales data by product categories, subcategories, or individual products to identify top-selling items, analyze product performance, and optimize inventory management.
- Profit/Loss analysis: Analyze profit and loss trends over time, including daily, monthly, and yearly trends, to identify seasonality patterns in the profit generation.
- Forecasting: Utilize advanced forecasting techniques to predict future sales trends, enabling proactive decision-making and effective resource allocation.
To use the Power BI Sales Analysis Dashboard, follow the steps below:
- Download and install Power BI Desktop from the official Microsoft website.
- Clone or download the repository to your local machine.
- Open Power BI Desktop and navigate to "File" > "Open" to load the Power BI project file (.pbix) from the downloaded repository.
- Once the project is open, you can interact with the visualizations and explore the sales data.
The Power BI Sales Analysis Dashboard provides an intuitive interface for exploring and analyzing sales data. Users can interact with visualizations, apply filters, drill down into specific product categories or regions, and gain valuable insights into sales performance. The dashboard can be used by sales managers, executives, or analysts to monitor sales performance, identify growth opportunities, and make data-driven decisions.
The sales data used in this Power BI project is sourced from internal sales databases or data warehouses. The specific data used for this project can be found in the "data" folder of the repository.
Contributions to this Power BI Sales Analysis project are welcome. If you would like to contribute, please follow the standard GitHub workflow of creating a fork, making changes in a branch, and submitting a pull request. Be sure to include a detailed description of the changes and any relevant documentation updates.
This project is licensed under the MIT License. You are free to modify, distribute, and use the code and resources in this repository according to the terms of the license.
For any questions or inquiries related to this Power BI Sales Analysis project, please contact the project owner:
- Name: Fatai Azeez
- Email: fatai.azeez28@gmail.com