Comprehensive Income Statement Power BI Dashboard
This project is a comprehensive income statement Power BI dashboard designed to highlight key performance indicators (KPIs) such as net income, total revenue, and operating income. It utilizes a Financial Dataset to provide insightful visualizations and analysis of financial data.
The dashboard offers a range of features and visualizations to help users gain a deeper understanding of their company's financial performance. It includes card visuals to display current KPI values, line charts to track trends over time, bar charts for comparisons, and tables to provide detailed breakdowns of the components contributing to the KPIs.
Users can leverage the customizable filters to focus on specific time periods, regions, or other dimensions of interest. The interactive nature of the dashboard enables users to explore the data, make informed decisions, and uncover growth opportunities effortlessly.
To use this dashboard, follow the steps below:
Clone the repository to your local machine using the following command:
bash Copy code git clone https://github.com/ansarifaisal12/KPI-Dashboard.git Open Power BI Desktop or sign in to the Power BI service.
Import the Financial Dataset into Power BI.
Open the Power BI project file (.pbix) included in the cloned repository.
In Power BI, navigate to the "Home" tab and select "Get Data" to connect to the Financial Dataset.
Clean and transform the data as needed within Power BI.
Design and customize the dashboard visuals based on your preferences and requirements.
Validate the calculations and ensure that the dashboard functions correctly.
Publish the dashboard to the Power BI service or share it with others as desired.
To effectively use the Comprehensive Income Statement Power BI Dashboard, follow these guidelines:
Start by exploring the card visuals that display the current values of net income, total revenue, and operating income. These will provide an overview of your company's financial performance.
Utilize the line charts to track the trends and changes in the KPIs over time. Identify any patterns or anomalies that may require further investigation.
Use the bar charts to compare the KPIs across different categories or time periods. This can help you identify areas of strength or areas that need improvement.
Refer to the table visuals for detailed information about the components contributing to net income, total revenue, and operating income. Break down the values by expenses, sales channels, or any other relevant dimensions.
Leverage the customizable filters to focus on specific dimensions or time periods that are relevant to your analysis. This will allow you to drill down into specific areas of interest and gain deeper insights.
Contributions are welcome! If you'd like to contribute to this project, please follow these steps:
Fork the repository.
Create a new branch for your feature or bug fix.
Make your changes and ensure they are properly tested.
Commit and push your changes to your forked repository.
Submit a pull request detailing the changes you made.
Please ensure that your contributions align with the goals and scope of the project.
This project is licensed under the MIT License. Feel free to modify and distribute it as per the terms of the license.