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An interactive tool that analyzes sales performance, customer behavior, and payment trends across mobile brands. It features dynamic visuals and slicers to help businesses track key metrics, identify top-selling products, and optimize sales strategies.
This project focuses on cleaning and preparing a raw Customer Transactions dataset using SQL. The goal is to demonstrate how SQL can be used to identify and fix common data-quality issues that occur in real-world business datasets.