This project involves comprehensive analysis of the Adventure Sales data set using Power BI. The goal was to extract meaningful insights through various Key Performance Indicators (KPIs), time intelligence functions, forecasting, trend analysis, and visualizations. The analysis was performed to provide actionable insights into sales performance, profit margins, and regional performance.
The Adventure Sales data set includes:
- Sales transactions
- Customer details
- Product information
- Regional sales data
- Time-based data for trend analysis
- Total Sales: Computed the overall sales revenue.
- Max Sales: Identified the highest sales value in the data set.
- Average Sales: Calculated the average sales value.
- Year-to-Date (YTD): Analyzed sales and profit up to the current date for the current year.
- Quarter-to-Date (QTD): Examined sales and profit for the current quarter.
- Month-to-Date (MTD): Reviewed sales and profit for the current month.
- Year-over-Year (YoY): Compared sales and profit figures with the same period in the previous year.
- Month-over-Month (MoM): Compared sales and profit figures with the previous month.
- Quarter-over-Quarter (QoQ): Compared sales and profit figures with the previous quarter.
- Total and Profit Sales by Year: Analyzed historical sales and profit data by year.
- Predicted Sales for the Next Five Months: Forecasted sales trends for the upcoming five months.
- Profit and Total Sales by Year and Category: Examined sales and profit trends by category and year.
- Regional Sales: Analyzed sales performance across different regions.
- Regional Profit Sales: Evaluated profit margins across various regions.
- AI Visuals:
- KPI Visuals: Created dynamic KPI indicators to display key metrics.
- Decomposition Tree: Visualized hierarchical data to drill down into sales performance.
- Custom Visuals: Developed custom visualizations tailored to specific analysis needs.
Seven comprehensive reports were created and published to Power BI Service. These reports include:
- KPI Dashboard
- Sales Performance Overview
- Time Intelligence Analysis
- Forecast and Trend Analysis
- Regional Sales Report
- Profit and Sales by Category
- Custom Visuals Report
- Power BI Desktop: For data modeling, analysis, and visualization.
- Power BI Service: For publishing and sharing reports.
- Ensure to review the forecasts periodically to adjust for new data.
- Explore custom visuals for enhanced data representation and insights.
- Regularly update the data set and reports to reflect the most current information.
- Integrate additional data sources for more comprehensive analysis.
- Explore advanced forecasting techniques and models.
- Implement interactive features for better user engagement.
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