This project presents an executive-level Business Intelligence dashboard developed in Power BI to evaluate revenue performance, customer behavior, product category contribution, and operational efficiency.
The solution transforms raw transactional e-commerce data into a structured analytical model designed to support strategic and operational decision-making.
E-commerce stakeholders require a centralized performance reporting layer to:
- Monitor revenue growth trends
- Understand customer purchasing behavior
- Identify high-performing product categories
- Evaluate delivery efficiency
- Detect regional revenue concentration
This dashboard provides a consolidated executive view aligned with business performance monitoring needs.
The dataset consists of transactional-level e-commerce records including:
- Order-level revenue
- Customer identifiers
- Product category classifications
- Geographic location data
- Delivery status indicators
- Timestamped purchase records
The data was modeled using a star schema architecture to optimize analytical performance and ensure scalable KPI computation.
- Total Revenue
- Total Orders
- Total Customers
- Average Order Value (AOV)
- Delivery Rate (%)
- Total Products Sold
All KPIs were implemented using optimized DAX measures to ensure accurate aggregation under dynamic filtering conditions.
- Revenue demonstrates a consistent upward growth trajectory.
- Health & Beauty is the highest revenue-contributing category.
- Delivery performance remains above 96%, indicating strong operational reliability.
- São Paulo (SP) contributes the largest regional share of total revenue.
- Star schema data modeling (Fact + Dimension tables)
- Optimized DAX measures for KPI calculations
- Time intelligence functions for trend analysis
- Interactive filtering and drill-through capability
- Executive-focused layout prioritizing clarity and hierarchy
- Power BI
- DAX
- Data Modeling (Star Schema)
- Business Intelligence Design Principles
- Data Visualization Best Practices
ecommerce-analytics-dashboard/
│
├── data/
├── dashboard/
├── images/
│ └── dashboard-preview.png
└── README.md
- Revenue metrics are calculated based on completed purchase transactions.
- Delivery rate is derived from successful delivery status indicators.
- Customer-level metrics aggregate multiple orders per unique customer.
- Refunds or cancellation events were not included in the dataset.
- Analysis reflects the available time window and may not capture extended seasonality.
This dashboard enables stakeholders to:
- Identify primary revenue drivers
- Monitor customer acquisition and purchasing trends
- Evaluate category-level performance concentration
- Track operational delivery efficiency
- Support data-driven strategic planning
The solution provides a scalable executive reporting layer adaptable to future analytical expansion.