An interactive Power BI dashboard analyzing sales performance, customer behavior, and profit trends — transforming raw e-commerce data into actionable business intelligence.
The Madhav Ecommerce Sales Dashboard is an interactive business intelligence project built using Power BI. It analyzes sales performance, customer behavior, and profit trends to support data-driven decision-making.
E-commerce businesses often face challenges in tracking sales and profit across regions, identifying top customers and products, analyzing monthly performance trends, and understanding payment preferences. This dashboard solves these problems by providing clear, interactive insights.
The objective was to build a unified view that monitors sales, profit, and quantity metrics, analyzes monthly profit trends, identifies top customers and states, understands category and payment distribution, and enables dynamic filtering across all dimensions.
The dataset encompasses complete e-commerce transaction records preprocessed using Microsoft Excel before being loaded into Power BI for modeling and visualization.
Data fields included:
This dashboard converts raw e-commerce data into meaningful insights, helping businesses improve performance and make strategic decisions. By combining Power BI's visualization capabilities with Excel-based preprocessing, it demonstrates how business intelligence tools can bridge the gap between raw data and executive action — from regional planning to customer retention and payment strategy optimization.
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