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https://github.com/istinnew/magist-eniac-case-study

This repository contains a comprehensive data analysis of Magist and Eniac, utilizing SQL for data querying and Tableau for data visualization. The project aims to provide actionable insights into business decisions and performance metrics.
https://github.com/istinnew/magist-eniac-case-study

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This repository contains a comprehensive data analysis of Magist and Eniac, utilizing SQL for data querying and Tableau for data visualization. The project aims to provide actionable insights into business decisions and performance metrics.

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README

        

# Magist and Eniac Case Study

## Summary
This project involves a detailed analysis of the partnership between Magist and Eniac, leveraging various data sources and visualization tools to uncover actionable insights. The study spans from September 2016 to October 2018, focusing on evaluating seller performance, customer satisfaction, delivery efficiency, and overall financial impact.

## Hypothesis and Case Overview
The Magist and Enica case study focuses on analyzing the data of two companies over a period from September 2016 to October 2018. Magist, known for its broad tech catalog and partnership with Eniac, a company specializing in Apple-compatible accessories, aims to evaluate the effectiveness of their collaboration. This analysis seeks to determine the following:
- **Hypothesis**: The partnership between Magist and Enica is beneficial for both parties, driving sales and customer satisfaction.
- **Scenarios**: Evaluating seller performance, customer satisfaction, delivery efficiency, and overall financial impact.
- **Companies**: Magist specializes in a wide range of tech products, while Enica focuses on high-end Apple-compatible accessories.
- **Analysis Objective**: Assess the business outcomes of the partnership, identify areas for improvement, and provide actionable insights.

## Links to Subsequent Projects
1. **Next Project**: [Eniac's Discount Strategy Analysis](https://github.com/IstinNew/Enaic-s-Discount-Strategy-Analysis)
2. **Current Project**: [Eniac A/B Testing Insight](https://github.com/IstinNew/Eniac_AB_Insight)

## Languages and Libraries Used
- SQL
- Tableau
- Python
- Google Colab

## Project Structure
The repository is organized as follows:
- `README.md`: This file, containing project overview and instructions.
- `LICENSE`: The project license information.
- `data/`: Directory containing the dataset files.
- `sql/`: Directory containing SQL scripts for data analysis.
- `tableau/`: Directory containing Tableau workbooks and visualizations.
- `presentation/`: Directory with the Google Slide presentation.

## Key Learnings
This project provided extensive experience in data analysis, visualization, and interpretation. Key learnings include advanced SQL querying, Tableau dashboard creation, and Python scripting for data manipulation. Additionally, using Google Colab facilitated seamless collaboration and execution in a cloud environment.

## Challenges Overcame
Challenges included handling large datasets, ensuring data accuracy, and creating meaningful visualizations. Overcoming these challenges required advanced problem-solving skills and an in-depth understanding of data analytics tools and techniques.

## Additional Reflections
Working on this project enhanced my ability to communicate complex technical insights to non-technical audiences. It also reinforced the importance of data-driven decision-making in evaluating business partnerships.