Hello 👋, I'm Shubh Jalui. In this repository I built a Product Performance Performance Dashboard. Using Power BI and it's tools.
You will use a dataset with the following columns:
- Product ID
- Product Name
- Category
- Region
- Sales Amount
- Cost
- Profit
- Customer Segment
- Date
- Load the dataset into Power BI.
- Create a new calculated column for Profit Margin using the following formula:
- Ensure all columns are correctly formatted (e.g., ensure numerical columns like Sales Amount, Cost, and Profit are in number format, and Date is in Date format).
Create the following visualizations:
- Create a clustered column chart showing Sales Amount by Region.
- Use color coding for Profit Margin to visualize the profitability of each region.
- Apply conditional formatting to highlight high and low margins (e.g., use green for high margins and red for low margins).
- Create a matrix showing the following fields:
- Product Name
- Category
- Sales Amount
- Profit
- Ensure that subtotals and grand totals are included in the matrix for Sales Amount and Profit.
- Add a card visual that displays the total Sales Amount across all products.
Add the following filters and slicers to allow for advanced analysis:
- Add a slicer for Category to allow users to filter the data based on product category.
- Add a date range slicer to filter data based on the selected date range.
- Apply a visual-level filter to only show products with a Profit Margin > 10%. This will help to focus on the more profitable products.
- Apply a color theme to the dashboard to ensure visual consistency across all visuals.
- Use data labels where appropriate to display key values (e.g., sales amounts, profit margins).
- Add a title to your dashboard:
"Product Performance Analysis".
- Add a text box summarizing at least 2 insights based on your findings. For example:
- Products with the highest profit margin.
- Regions contributing the most to sales.
- Save your Power BI file as
StudentName_ProductPerformance.pbix.
