Revenue Analytics
Revenue Analytics
Built a SQL-based retail data warehouse to unify sales, customer, product, and employee data for comprehensive business intelligence. Delivered insights on revenue trends, product performance, customer segmentation, regional sales, and employee productivity.
Built a SQL-based retail data warehouse to unify sales, customer, product, and employee data for comprehensive business intelligence. Delivered insights on revenue trends, product performance, customer segmentation, regional sales, and employee productivity.
Objective
Track and optimize sales, product performance, and customer engagement.
Objective
Track and optimize sales, product performance, and customer engagement.
Objective
Track and optimize sales, product performance, and customer engagement.
Approach
SQL (MySQL / MySQL Workbench)
Approach
SQL (MySQL / MySQL Workbench)
Approach
SQL (MySQL / MySQL Workbench)
Takeaways
Identified peak sales periods, top products, high-value customers, and regional performance drivers.
Takeaways
Identified peak sales periods, top products, high-value customers, and regional performance drivers.
Takeaways
Identified peak sales periods, top products, high-value customers, and regional performance drivers.
Application
Demand forecasting, inventory planning, targeted marketing, and sales incentives.
Application
Demand forecasting, inventory planning, targeted marketing, and sales incentives.
Application
Demand forecasting, inventory planning, targeted marketing, and sales incentives.
Example Appication
