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e-commerce-sales-analysis-'s Introduction

E-Commerce Sales Analysis Project

๐ŸŽฏ ๐‘จ๐’ƒ๐’๐’–๐’• ๐’•๐’‰๐’† ๐’‘๐’“๐’๐’‹๐’†๐’„๐’• -

  • In this project, we have analyzed an Indian Ecommerce store dataset.
  • dataset is from Kaggle, and consists of 3 CSV files- List of Orders, Order details, Sales target.
  • List of Orders - This dataset contains purchase information including Order ID, Date of Purchase and customer details.
  • Order Details - This dataset contains order ID, price, quantity, profit, category and subcategory of product.
  • Sales target - This dataset contains sales target amount and date for each product category.

๐ŸŽฏ ๐‘ท๐’“๐’๐’‹๐’†๐’„๐’• ๐‘ซ๐’Š๐’“๐’†๐’„๐’•๐’๐’“๐’š -

  • This Project Repository consists of -
  • SQL In Depth Analysis - Analysed the dataset by writing complex SQL Queries to gain insights.
  • Power BI Dashboard - live Interactive Dashboard for visualizing the insights.
  • Alteryx Workflows - Used in RFM Analysis to calculate score for customer segmentation.

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