This project leverages Power BI, SQL, and Excel to analyze sales data and generate interactive dashboards. The goal is to extract key business insights, monitor performance using KPIs, and visualize trends for effective decision-making.
- Power BI – For data visualization and dashboard creation
- SQL – For data extraction and transformation
- Excel – For data cleaning and pre-processing
- Imported data from Excel and SQL databases
- Checked for missing values and handled inconsistencies
- Converted data types for better analysis
- Used SQL queries to filter and aggregate data
- Applied Power Query for data transformation and modeling
- Established relationships between different tables
- Optimized data structure for efficient reporting
- Designed an interactive dashboard to track total revenue, total orders, average order value, and sales by category
- KPI trends over time are displayed for better insights into sales performance
- Used various visuals such as bar charts, line graphs, pie charts, and maps to analyze revenue trends, customer segments, and product performance
- Identified top-selling products and underperforming categories
- Analyzed peak sales periods and seasonal trends
- Segmented customer groups based on purchasing behavior
- Provided recommendations to improve sales and marketing strategies
This project demonstrates how Power BI, SQL, and Excel can be used together for business intelligence and data-driven decision-making. The interactive dashboard helps businesses monitor key metrics, track sales trends, and optimize revenue strategies.
- Integrating real-time data updates
- Adding forecasting models for revenue prediction
- Enhancing dashboard UI/UX for better accessibility