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https://github.com/stefagnone/-wedding-vendor-pricing-and-customer-satisfaction-analysis
Data-driven analysis of wedding vendor pricing and customer satisfaction, with database design, SQL optimization, and cost breakdown generation.
https://github.com/stefagnone/-wedding-vendor-pricing-and-customer-satisfaction-analysis
business-intelligence cost-optimization customer-satisfaction data-analysis database-design python sql vision-board-analysis wedding-planning wedding-vendor-pricing
Last synced: 10 days ago
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Data-driven analysis of wedding vendor pricing and customer satisfaction, with database design, SQL optimization, and cost breakdown generation.
- Host: GitHub
- URL: https://github.com/stefagnone/-wedding-vendor-pricing-and-customer-satisfaction-analysis
- Owner: stefagnone
- Created: 2024-12-05T16:44:51.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-12-13T09:28:35.000Z (2 months ago)
- Last Synced: 2024-12-13T10:21:44.553Z (2 months ago)
- Topics: business-intelligence, cost-optimization, customer-satisfaction, data-analysis, database-design, python, sql, vision-board-analysis, wedding-planning, wedding-vendor-pricing
- Language: Jupyter Notebook
- Homepage:
- Size: 8.89 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Project Overview
This project involves analyzing wedding vendor pricing data to assess its correlation with customer satisfaction and preparing cost-effective wedding proposals. It includes tasks like data collection, database design, SQL-based analysis, and crafting an itemized cost breakdown for a client-selected wedding theme.
Key highlights:
- Explored the relationship between wedding vendor pricing and customer satisfaction using data-driven insights.
- Designed and normalized a database in 3NF, representing wedding vendor details and cost data.
- Developed dynamic SQL queries and Python scripts to generate detailed cost breakdowns for clients.
- Provided actionable insights for cost-effective wedding planning.
The project demonstrates advanced skills in database design, SQL, and Python for business analysis and client engagement.
## Technologies Used
- **SQL**: Data modeling, normalization, and query generation
- **Python**: Dynamic cost breakdown generation and data processing
- **Excel**: Data collection and reporting
- **PowerPoint**: Client-ready presentations
- **Database Design**: ER diagram creation and data structuring
## Repository Structure
### Code/
- `Final_Analysis_Report.py`: Python script for generating insights and performing analysis on wedding vendor pricing and customer satisfaction.
### Data/
- `Weddings Database DD-MBAN 2023.xlsx`: Complete dataset of wedding vendor pricing and satisfaction ratings.
- `weddings database DD-MBAN 2023.sql`: SQL script for creating and populating the database.
- `weddings database DD-MBAN 2023.txt`: Text file version of the database structure and data.
### Documents/
#### Wedding_Planning_Client_Proposal/
- `Business_Challenge_Wedding_Table1_team12.txt`: Details of Table 1 for the wedding planning proposal.
- `Business_Challenge_Wedding_Table2_team12 (1).txt`: Details of Table 2 for the wedding planning proposal.
#### Wedding_Planning_PPT_Presentation/
- `Business Challenge 1_Team12.pdf`: PDF of the wedding planning presentation.
#### Wedding_Planning_Vision_Board_Analysis/
- `Vision Board Analysis- Team 12.xlsx`: Vision board analysis Excel file.
- `Vision Board Analysis_Team12_FMBANDD1.pdf`: PDF version of the vision board analysis.
#### ER Diagrams/
- `Weddings ERD DD-MBAN 2023.pdf`: Entity Relationship Diagram for the wedding database.
### output/
- `wedding cost.ipynb`: Jupyter Notebook for wedding cost breakdown analysis.
- `wedding_cost_data.txt`: Text file containing SQL results for wedding cost data.
### README.md
- Overview of the project, instructions, and key insights.
## Key Insights
- Vendor pricing does not exhibit a strong correlation with customer satisfaction, challenging conventional wisdom.
- Designed a database in 3NF to streamline vendor data management for future scalability.
- Dynamic cost breakdowns provided clear visibility into budget allocation for each wedding department.
- Recommendations for future vendor selections include focusing on affordable options that maintain high satisfaction levels.
## Contact
Connect with me on [LinkedIn](https://www.linkedin.com/in/stefano-compagnone98/) for more information or explore my other projects on GitHub.