EduPayAudit: Higher Education Payroll Compliance & Reconciliation System

A comprehensive Python-based system designed for higher education institutions to perform detailed payroll reconciliation and compliance auditing. This tool helps ensure accuracy between HR and Payroll systems while maintaining audit compliance standards.

Key Features

• Data Validation: Enforces required fields and data format consistency
• Comprehensive Reconciliation:
  • Identifies pay discrepancies between HR and Payroll systems
  • Tracks missing records in both systems
  • Performs department-level analysis
• Audit Trail:
  • Maintains detailed logging of all operations
  • Timestamps all reports and analyses
  • Generates audit-ready documentation
• Detailed Reporting:
  • Excel reports with multiple worksheets for different types of discrepancies
  • Department-wise analysis
  • JSON summary reports for data integration
  • Floating-point precision handling for accurate financial comparisons
• Visual Analytics:
  • Bar charts showing discrepancies by employee category
  • Department comparison charts for HR vs. Payroll systems
  • Pie charts displaying the distribution of issues found
  • All charts saved as PNG files for easy inclusion in reports and presentations
• Interactive Analysis:
  • Jupyter notebook for interactive data exploration
  • Custom analysis capabilities
  • Visual report display and interpretation

Requirements

• Python 3.x
• Required packages listed in requirements.txt

Installation

Option 1: Using Conda (Recommended)

1. Clone this repository
2. Create and activate the Conda environment: bash conda env create -f environment.yml conda activate edupayaudit

Option 2: Using pip

1. Clone this repository
2. Install required packages: bash pip install -r requirements.txt

Input Files

The tool requires two CSV files in the same directory: - hr_system_data.csv: HR system data - payroll_system_data.csv: Payroll system data

Required CSV Columns

• EmployeeID
• Pay
• Position
• Department
• PayPeriodEnd

Sample Data

The repository includes sample data files that demonstrate various scenarios:

Included Test Scenarios:

• Pay discrepancies between systems
• Missing records in HR/Payroll
• Department-level variations
• Different employee categories (Faculty, Staff, Adjunct)
• Various academic departments

Sample files: - hr_system_data.csv: 15 sample HR records - payroll_system_data.csv: 15 sample Payroll records

The sample data includes intentional discrepancies to demonstrate the tool's capabilities: 1. Salary mismatches (e.g., ADJ001, STF003, FAC006) 2. Missing records (e.g., ADJ002 in HR only, TEMP001 in Payroll only) 3. Various departments and positions for comprehensive testing

Usage

Run the main reconciliation script: bash python payroll_reconciliation.py

Generate visual reports from the latest audit: bash python visual_report_generator.py

Interactive exploration with Jupyter notebook: bash jupyter notebook EduPayAudit.ipynb

Output

The tool generates two types of output files in the output directory:

1. Excel Report (payroll_reconciliation_report_TIMESTAMP.xlsx):

   • Mismatched Records
   • Records Missing in HR
   • Records Missing in Payroll
   • Department Analysis

2. JSON Summary (audit_summary_TIMESTAMP.json):

   • Audit timestamp
   • Statistical summary
   • Department-level discrepancy counts

3. Visual Reports (PNG files):

   • Bar charts, department comparison charts, and pie charts saved in the output directory

Audit Compliance

This tool is designed to meet educational institution audit requirements: - Maintains detailed audit trails - Implements data validation checks - Provides comprehensive reconciliation reports - Supports department-level analysis - Ensures accurate financial calculations

Best Practices

• Run reconciliation reports regularly (recommended: bi-weekly)
• Review all discrepancies promptly
• Maintain audit logs for compliance purposes
• Document any manual adjustments
• Regular backup of reconciliation reports

License and Attribution

This project is licensed under the MIT License with an attribution requirement - see the LICENSE file for details.

Note: This version (v1.0) is released under MIT License for demonstration and portfolio purposes. Future versions may be released under different licensing terms.

Attribution Requirements

When using this software or substantial portions of it, you must include the following attribution:

Created by Nicole LeGuern (CodeQueenie). Original repository: https://github.com/CodeQueenie/HigherEdPayrollAuditSystem

This attribution may be included in: - Documentation - "About" section of your application - Code comments - Credits file that ships with your software

Author

Nicole LeGuern (GitHub: CodeQueenie)