E-commerce Sales Analytics Dashboard Creation

Transforming E-commerce Data into Actionable Business Intelligence
I’m excited to share my latest E-commerce Analytics Project built in Power BI, designed to provide a 360-degree view of business performance.
As an MIS professional, my goal was to move beyond simple charts and build a tool that answers critical business questions: Which customers are we losing? Which products drive 70% of our revenue? How is our profitability shifting year-over-year?
Key Features of the Dashboard:
Executive Sales Overview: Real-time tracking of KPIs like Profit Margin % and Discount Impact with dynamic YoY comparisons.
Customer Analytics & Cohort Analysis: Visualizing customer retention and lifecycle trends to identify at-risk segments and "Champions."
Product Performance (ABC Analysis): Segmenting the inventory into Top 70%, Next 20%, and Bottom 10% to optimize stock and marketing spend.
Advanced UI/UX: A custom-built, collapsible Filter Pane and intuitive sidebar navigation to maximize "data real estate" and user experience.
Sub-category Profitability Matrix: Identifying "stars" and "underperformers" through scatter plot analysis of Sales vs. Profit.
Technical Stack:
Power BI for visualization and UI design.
DAX for complex measures (YoY Growth, ABC Logic, and Segmented KPIs).
Power Query for robust data transformation and modeling.
This project reinforces how data-driven storytelling can identify growth opportunities and operational efficiencies in the competitive e-commerce landscape.
I’d love to hear your thoughts on the design or the analytical approach!
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