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Data Flow Diagram for HR Management System Modules

Abstract

This document outlines the Data Flow Diagram (DFD) for an integrated HR Management System that encompasses various modules including Authentication, Core HR, Time and Attendance, Leave, Payroll, Performance, Recruitment, and RMG Sector Workflow. Each module is designed to communicate with one another through an MQTT service, ensuring seamless data exchange and operational efficiency. The DFD provides a visual representation of how data moves between these modules, highlighting the interactions and dependencies within the system.


1. Introduction

The HR Management System consists of multiple modules that serve different functions within an organization. Each module is interconnected, allowing for efficient data flow and management. Below is a detailed description of each module and its interactions.


2. Modules Overview

An integrated HR management system with modules for authentication, core HR, time and attendance, leave, payroll, performance, recruitment, and RMG workflows, facilitating seamless data flow and employee management.

2.1 Authentication Module (IAM or KeyCloak)

  • Functionality: Handles user authentication and authorization.
  • Data Flow: Validates user credentials and provides access tokens to other modules.

2.2 Core HR Module

  • Components: Organization management, Organogram management, Employee management.
  • Data Flow: Manages employee records and organizational structure, sharing data with other modules for employee-related processes.

2.3 Time and Attendance Module

  • Components: Employee attendance tracking, Schedule management, Shift management.
  • Data Flow: Collects attendance data and schedules, communicates with the Core HR module for employee records.

2.4 Leave Module

  • Functionality: Calculates and manages employee leave.
  • Data Flow: Interacts with the Core HR module to access employee data and with the Time and Attendance module for attendance records.

2.5 Payroll Module

  • Functionality: Manages employee payroll processing.
  • Data Flow: Retrieves attendance and leave data from the Time and Attendance and Leave modules, respectively, and communicates with the Core HR module for employee details.

2.6 Performance Module

  • Functionality: Tracks employee performance and tasks.
  • Data Flow: Interacts with the Core HR module for employee data and shares performance metrics with the Payroll module for potential bonuses.

2.7 Recruitment Module

  • Functionality: Manages employee recruitment via tasks and job postings.
  • Data Flow: Communicates with the Core HR module to update employee records upon hiring.

2.8 RMG Sector Workflow

  • Functionality: Manages workflows specific to the RMG department.
  • Data Flow: Interacts with other modules to ensure that RMG-specific processes are aligned with overall HR management.

Conclusion

This Data Flow Diagram (DFD) illustrates a robust architecture where various HR modules interact seamlessly. Leveraging MQTT services, this design ensures efficient data exchange, scalability, and modular management across the entire HR ecosystem.


Data Flow Diagram

Data Flow Diagram for HR Management System Modules