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Analyzing 100,000 orders from Olist's Brazilian E-Commerce Public Dataset, this project aims to glean insights using Microsoft Power BI. Stakeholders, including Olist's leadership, will utilize findings to enhance products, customer satisfaction, and business growth.

mysql-database powerbi sql data-analytics data-visualization

olist's Introduction

Project README

Overview

This project focuses on advanced data analysis and visualization using a common dataset. It consists of two main components:

  1. SQL_Olist:

    • This folder contains SQL scripts for data manipulation and schema design.
    • The SQL code is aimed at preparing the dataset for advanced querying to derive insights.
    • Files in this folder facilitate data preprocessing and transformation.
  2. Dashboard Report:

    • This file is a PDF report presenting insights derived from the dataset using PowerBI.
    • The report showcases various visualizations and analyses conducted on the dataset.
    • It provides a comprehensive overview of the insights gained from the data.

Please note that while both components are based on the same dataset, they were developed separately to address different aspects of analysis and visualization.

File Structure

  • SQL_Olist/

    • CreateTablesScript.sql: Contains SQL code for data manipulation.
    • ProjectQueries.sql: Contains SQL code for schema design.
    • SQL_REPORT.pdf: Containes the report of the queries adn the questiones that was answered.
  • Dashboard Report.pdf: PDF report presenting insights from the dataset using PowerBI.

Contributors

  • Mehdi Smail

For any questions or feedback, please contact [email protected]

Screenshot 2024-04-03 at 6 06 50 PM Screenshot 2024-04-03 at 6 07 05 PM Screenshot 2024-04-03 at 6 07 19 PM Screenshot 2024-04-03 at 6 07 31 PM Screenshot 2024-04-03 at 6 07 55 PM Screenshot 2024-04-03 at 6 08 08 PM Screenshot 2024-04-03 at 6 08 20 PM

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