HRIS EF Core migration improving biometric timesheet generation and payroll processing performance

HRIS Migration Update: EF Core Optimization Delivers Up to 90% Faster Timesheet Generation

Transforming Payroll and Attendance Processing Through EF Core Migration

Performance and efficiency are critical components of any modern Human Resource Information System (HRIS). As organizations grow and employee data volumes increase, payroll preparation and attendance processing must remain fast, accurate, and reliable.

We are excited to announce a major milestone in our HRIS modernization journey: the successful migration of our Generate Timesheet from Biometric Logs process to Entity Framework (EF) Core with API payload transaction processing.

The results have been remarkable—reducing processing time from up to 13 minutes to nearly 1 minute while maintaining the same employee volume and payroll period.

The Challenge: Processing Large Volumes of Biometric Attendance Data

Organizations that rely on biometric attendance systems generate thousands of attendance records during each payroll cycle. Converting these raw biometric logs into payroll-ready timesheets requires significant processing power, especially when handling:

  • Large employee populations
  • Multiple daily attendance transactions
  • Overtime calculations
  • Shift schedules
  • Leave integrations
  • Payroll cut-off periods

As transaction volumes grow, performance optimization becomes essential to ensure HR and payroll teams can complete their work efficiently.

Previous System Performance

Before the migration, the Generate Timesheet process handled the following workload:

Employee Volume

  • 300 employees

Payroll Period

  • Semi-monthly cut-off (15 days)

Processing Time

  • Approximately 9 to 13 minutes

While functional, this processing duration could slow down payroll preparation and delay HR operations during critical payroll periods.

New EF Core Migration Performance Results

After migrating the process to EF Core and implementing API payload transaction processing, performance improvements exceeded expectations.

Employee Volume

  • 300 employees

Payroll Period

  • Semi-monthly cut-off (15 days)

Processing Time

  • Almost 1 minute
  • Consistently below 2 minutes

This represents a significant reduction in execution time and dramatically improves the user experience for HR and payroll administrators.

Performance Comparison
ProcessPrevious SystemEF Core Migration
Employee Count300300
Payroll Cut-Off15 Days15 Days
Processing Time9–13 Minutes~1 Minute
Maximum Duration13 MinutesUnder 2 Minutes
Performance Improvement

The migration achieved approximately:

  • Up to 90% faster processing
  • Reduced waiting time for HR teams
  • Faster payroll preparation cycles
  • Improved scalability for future growth
Key Optimizations Implemented

Several technical improvements contributed to the substantial performance gains.

  1. EF Core Query Optimization

Entity Framework Core provides more efficient query execution and better database interaction compared to legacy approaches.

Benefits include:

  • Faster data retrieval
  • Reduced query overhead
  • Improved execution plans
  • Better memory management

By optimizing database queries, the system can process attendance records more efficiently and reduce overall execution time.

  1. Reduced Database Round Trips

One of the most common causes of performance bottlenecks is excessive communication between the application and database.

The migration significantly reduced unnecessary database round trips by:

  • Consolidating queries
  • Minimizing repetitive data access
  • Improving transaction handling
  • Leveraging efficient data loading techniques

The result is faster data processing and reduced server workload.

  1. API Payload Transaction Processing

The implementation of API payload transaction processing improves how attendance and payroll data are transmitted and processed throughout the system.

Advantages include:

  • Faster transaction execution
  • Improved reliability
  • Better data consistency
  • Enhanced scalability

This architecture supports more efficient handling of large attendance datasets and future system enhancements.

  1. Improved Grouping and Filtering Logic

Attendance processing often requires grouping thousands of biometric transactions and filtering relevant records based on payroll periods.

The new logic introduces:

  • Smarter data grouping
  • Optimized filtering algorithms
  • Reduced processing overhead
  • Faster attendance calculations

This ensures that only the necessary records are processed during timesheet generation.

  1. Optimized Bulk Insert and Delete Operations

Bulk database operations are now executed more efficiently.

Enhancements include:

  • Faster bulk inserts
  • Optimized bulk deletions
  • Reduced transaction overhead
  • Improved database performance

This significantly decreases the time required to create and update timesheet records during payroll preparation.

Benefits for HR and Payroll Teams

The migration provides substantial operational benefits beyond raw performance improvements.

Faster Payroll Preparation

HR and payroll administrators can generate employee timesheets more quickly, reducing payroll processing delays.

Improved Productivity

Less waiting time means teams can focus on reviewing, validating, and finalizing payroll data rather than waiting for system processes to complete.

Enhanced User Experience

A faster HRIS creates a more responsive and efficient experience for system users.

Better Scalability

As organizations grow, the optimized architecture can support larger employee populations and increased transaction volumes more effectively.

Increased Data Reliability

API-based transaction processing improves data consistency and reduces the risk of processing errors.

Supporting Digital HR Transformation

Modern HR departments require systems that can process large volumes of workforce data efficiently. The successful migration to EF Core demonstrates our commitment to continuous innovation, system modernization, and operational excellence.

By adopting modern technologies and optimizing core HR processes, we help organizations:

  • Accelerate payroll workflows
  • Improve attendance management
  • Reduce administrative overhead
  • Support workforce growth
  • Enhance overall HR productivity
Looking Ahead

This EF Core migration is one of several ongoing initiatives aimed at improving HRIS performance, scalability, and user experience.

Future enhancements will continue to focus on:

  • Faster transaction processing
  • Improved payroll automation
  • Enhanced attendance management
  • Better reporting performance
  • Expanded API-driven capabilities
Experience the Difference with a Faster HRIS

The successful migration of Generate Timesheet from Biometric Logs to EF Core with API payload transaction processing marks a significant advancement in HRIS performance.

With processing times reduced from 9–13 minutes to nearly 1 minute, HR and payroll teams can now work more efficiently, prepare payroll faster, and manage workforce data with greater confidence.

As we continue to enhance our HRIS platform, organizations can expect even more powerful features, faster performance, and smarter automation designed to support modern workforce management.