Embedded Files
An interactive Power BI solution designed to provide executive management with a clear, global view of sales performance, income generation, and customer profitability across regions and product lines.
The Business Problem & Goal
The primary business challenge was the lack of a unified view of profitability across diverse global markets and complex product categories. The goal was to build a dynamic tool that utilizes DAX-driven calculations to identify the most and least profitable product subcategories and sales agents (Managers) and optimize global resource allocation.
Analytical Process & Data Modeling
To achieve accurate profitability analysis, a robust Star Schema data model was engineered, connecting various Dimension and Fact tables.
Analytical Process & Data Modeling
To achieve accurate profitability analysis, a robust Star Schema data model was engineered, connecting various Dimension and Fact tables.
Power Query & Data Cleaning
Power Query & Data Cleaning
- Power Query was used for data profiling and transformations, specifically linking the Orders, Customers, and Managers tables to enable comprehensive analysis of sales performance by customer segment and sales team efficiency.
Advanced DAX Measures
Advanced DAX Measures
- Key performance indicators (KPIs) such as Income (Profit) and Avg Sales were calculated using DAX.
- The implementation included advanced hierarchy structures (as seen in the decomposition tree) to drill down into Product Category, Subcategory, and Product Name for granular profitability assessment.
The Interactive Solution (Full Dashboard Demo)
The Interactive Solution (Full Dashboard Demo)
Decomposition Tree
Decomposition Tree
KPIs و Income by Year
KPIs و Income by Year
Q & A Page
Q & A Page
Key Insights & Findings
Key Insights & Findings
High-Value Categories Driving Income:
The Furniture and Technology categories are the primary income drivers, contributing over (Two-thirds of the total profit) ($42M+ combined).
Product Profitability Disparity:
There is an extreme income gap between subcategories; for instance, Chairs generated $8.8M, while Fasteners generated only $0.1M.
Granular Loss Identification:
The Decomposition Tree revealed that even within the highly profitable Chairs subcategory، there are specific products generating near-zero income.
Strong Growth Trajectory:
The Income by Year trend shows consistent and healthy year-over-year growth from 2016 to 2019.
Top Sales Performers:
The dashboard clearly identifies the Top 3 Sales Persons (Anna Andreadi, Chuck Magee, and Kelly Williams)، highlighting individuals whose successful sales strategies can be replicated across the global team.
Business Impact & Conclusion
The Global Superstore Sales Analysis solution transformed complex, large-scale data into a clear and executable strategy. By providing a unified view of income across all markets and product lines, the management team was empowered to make data-driven decisions. The granular analysis enabled the immediate implementation of actions to discontinue or re-price low-income products (e.g., Fasteners)، maximize investment in high-value categories (Furniture/Technology)، and establish a best-practice model based on the performance of the Top Sales Agents.
Business Impact & Conclusion
The Global Superstore Sales Analysis solution transformed complex, large-scale data into a clear and executable strategy. By providing a unified view of income across all markets and product lines, the management team was empowered to make data-driven decisions. The granular analysis enabled the immediate implementation of actions to discontinue or re-price low-income products (e.g., Fasteners)، maximize investment in high-value categories (Furniture/Technology)، and establish a best-practice model based on the performance of the Top Sales Agents.
Page updated
Google Sites
Report abuse