Sales Supermarket Analysis Report

Key Responsibilities:

Data Extraction and Transformation:

Extracted sales data from multiple sources, including the supermarket's point of sale (POS) system, inventory management system, and customer relationship management (CRM) system.

Cleaned and transformed the data to ensure accuracy, consistency, and completeness using SQL and data integration tools.

Data Modeling:

Designed and implemented a data model to structure the sales data for efficient analysis.

Created relationships between various tables, including sales transactions, products, customers, and store locations.

Dashboard Development:

Utilized Power BI to create interactive dashboards and reports. Key visualizations included:

Total Sales by Store Location: Developed a column chart to display the total sales for each store location. Applied DAX functions to filter and show the top three stores with the highest sales.

Sales by Product Category: Created a tree map to visualize the distribution of sales across different product categories, helping to identify top-selling categories and potential areas for expansion.

Monthly Sales Trends: Utilized line charts to illustrate monthly sales trends, enabling the identification of growth patterns and seasonal variations.

Sales by Customer Demographics: Designed a bar chart to present sales figures segmented by customer demographics, such as age group and gender, to understand customer behavior and preferences.

Sales Performance by Promotion: Implemented a pie chart to analyze the effectiveness of different promotional campaigns on sales performance.

Data Analysis and Reporting:

Conducted detailed data analysis to identify key trends, patterns, and anomalies in the sales data.

Generated insights and strategic recommendations to improve sales performance, optimize inventory levels, and enhance customer satisfaction.