https://github.com/sridevi-pemmasani/sql-project-ngo-operations
SQL-Project-NGO-Operations
https://github.com/sridevi-pemmasani/sql-project-ngo-operations
mysql-database mysql-workbench sql
Last synced: over 1 year ago
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SQL-Project-NGO-Operations
- Host: GitHub
- URL: https://github.com/sridevi-pemmasani/sql-project-ngo-operations
- Owner: Sridevi-Pemmasani
- Created: 2025-04-19T23:23:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-21T17:28:53.000Z (over 1 year ago)
- Last Synced: 2025-04-24T05:09:23.380Z (over 1 year ago)
- Topics: mysql-database, mysql-workbench, sql
- Homepage:
- Size: 3.05 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SQL Project - NGO Operations
## 1. Project Overview
This project aims to design and implement a comprehensive database system and optimizing the operations of a non-governmental organization (NGO) using SQL. The dataset includes information about staff, volunteers, donars, donations, beneficiaries, projects, activities, expenses and feedback. The goal is to extract insights to support data-driven decision-making.
---
## 2. Objectives
- Create a new database from scratch to support operational insights for a Non-Governmental Organization (NGO).
- Design and implement a normalized database structure to ensure data consistency and integrity.
- Creat primary and dependent tables to maintain proper relationships and eliminate redundancy.
- Prepare and upload data into the database.
- Extract insights using complex SQL queries on volunteer engagement, donations, programs, and beneficiary impact.
- Provide insights and Recomendations
---
## 3. Dataset Description
### 3.1 Strong / Primary Tables
The project uses a relational database consisting of the following basic tables:
1. `Staff` - Represents the permanent employees of the NGO who play various roles in managing operations and implementing projects
2. `Staff Role` - Defines various roles that staff members can have within the NGO, such as NGO Head, Fundraising Manager, or Operations Manager.
3. `Volunteers` - Represents individuals who contribute their time and skills to the NGO's projects and activities on a voluntary basis.
4. `Projects` - Represents the various initiatives undertaken by the NGO to achieve its mission.
5. `ProjectActivities` - Represents specific activities that fall under a project. Each project can have multiple activities.
6. `Donars` - Represents individuals or organizations providing financial contributions to the NGO.
7. `Beneficiaries` - Represents the individuals or groups who benefit from the NGO’s projects.
8. `Expenses` - Tracks the financial expenditure associated with each project.
### 3.2 Week / Secondary Tables
Below are the additional tables required to maintain the relationships and among the given tables:
9. `VolunteerHours` - Tracks the hours contributed by volunteers to specific project activities.
10. `Beneficiaries_Feedback` - Captures feedback provided by beneficiaries on the projects they were part of.
11. `Donations` - Tracks financial contributions made by donors to specific projects.
These tables are connected via foreign keys to maintain data integrity.
### 3.3 Strong Relationsships
1. Staff manages Projects (Staff to Projects, 1:N)
2. Projects include ProjectActivities (Projects to ProjectActivities, 1:N)
3. Donors contribute to Projects through Donations (Donors to Donations, N:M via Projects)
4. Beneficiaries provide Feedback on Projects (Beneficiaries to Feedback, N:M via Projects)
5. Volunteers contribute hours to ProjectActivities (Volunteers to VolunteerHours, N:M via ProjectActivities)
### 3.4 Weak Relationships
1. VolunteerHours is associated with Volunteer and Activities (N:M:M relationship with Volunteers and Activities)
2. Donations depend on Donors and Projects
3. Beneficiaries_Feedback depends on Beneficiaries and Projects
---
## 4. Tools & Technologies
- **MySQL Server** - The engine that runs and manages the database operations.
- **MySQL** - An open-source RDBMS used for storing and managing relational data.
- **MySQL Workbench** - A visual tool for database design and management. Used for ER diagrams, schema creation, and running SQL queries.
- **SQL (Structured Query Language)** - The language used to define, manipulate, and query data in the MySQL database.
- **Draw.io** - Used for ER modeling and visualizing database structure before implementation
---
## 5. Data Model Diagram
---
## 6. Key SQL Queries
#### 6.1 1. Database and Tables Creation (DDL)
#### 6.1 2. Additional DDL Queries
#### 6.1 3. Database Manipulation Queries (DML)
#### 6.1 4. Data Retreival with Filters and Operations
#### 6.1 5. Aggregation Queries
#### 6.1 6. Window Functions and Subqueries
#### 6.1 7. Common Table Expression (CTEs)
#### 6.1 8. Queries_Views
#### 6.1 9. Queries_StoredProcedures
#### 6.1 10. NGO Operations Insights
---
## 7. Findings & Recommendations
### 💡 **Key Insights:**
✅ **Donor Contribution Concentration:** A small group of major donors is responsible for a significant portion of the total funds raised.
✅ **Seasonal & Event-Based Donation Trends:** Donation volumes fluctuate depending on the season and specific events or campaigns.
✅ **Volunteer Resource Imbalance:** Volunteer engagement is not consistently aligned with project needs—some projects face overstaffing while others are understaffed.
✅ **Underperforming Projects Identified:** A few projects are consistently showing low performance or impact, requiring strategic attention.
---
### 🚀 **Recommended Actions:**
🌟 **Enhance Donor Engagement:** Introduce loyalty and recognition programs (e.g., donor spotlights, milestone awards) to attract and retain high-value donors, especially for underfunded projects.
📅 **Strategic Fundraising Planning:** Develop seasonal fundraising calendars and event-based campaigns to better manage fluctuations and ensure consistent funding throughout the year.
🧩 **Optimize Volunteer Allocation:** Implement a volunteer management system that matches volunteer skills and availability with specific project demands to improve efficiency and satisfaction.
💬 **Collect & Act on Beneficiary Feedback:** Regularly gather structured feedback from beneficiaries to assess service quality, identify improvement areas, and increase impact.
---
## 8 Challenges Faced
- Inconsistent data entries and missing values
- Complex joins due to many-to-many relationships
- Normalization needed for program-beneficiary mapping
---
## 9. Conclusion
SQL can provide powerful insights into NGO operations by uncovering patterns in donations, volunteers, and project outcomes. These insights help NGOs maximize impact and improve transparency with stakeholders.
---
## 10. Screenshots
**Few Query Results / NGO Operations Insights:**
**1. Donar Contributions against Different Projects**
**2. Average Donations for Project**
**3. Monthly Donation Trend**
**4. Top 3 Donars by Project**
**5. Top Performing Projects by Impact**
**6. Donor Retention & Contribution Trends Over Time**
**7. Volunteer Work Distribution**
**8. Rolling Totals of Volunteer Work Hours**
**9. Beneficiries Feedback by Project**
---
## **📬 Connect With Me**
💼 **LinkedIn:** (www.linkedin.com/in/sridevi-pemmasani-2b849a317)
📧 **Email:** sriramapemmasani@gmail.com
🚀 **GitHub:** (https://github.com/Sridevi-Pemmasani)