10x Faster: Biometric to OTL Timecard Integration

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Workflow Name:

Biometric Devices to Oracle Time and Labor

Purpose:

Automate workforce attendance logging and Oracle Time and Labor data creation

Benefit:

compliance reporting, Ensure accurate payroll, reduce manual input

Who Uses It:

HR teams, IT & Data engineers, Payroll specialists

System Type:

ERP Integration, Workflow Automation

On-Premise Supported:

Yes

Supported Protocols:

HTTPS, REST, SFTP

Industry:

Enterprise HR, Manufacturing, Retail

Outcome:

90% faster, 95% accurate timecards

Description

Problem Before:

Manual timecard entries led to errors and delays

Solution Overview:

Automated sync of biometric logs to Oracle Time and Labor

Key Features:

auto-timecard creation, Capture check-in/out, map to OTL

Business Impact:

Reduce payroll errors by 90%, save HR processing time

Productivity Gain:

3x faster payroll processing per HR employee

Cost Savings:

Up to 50% reduction in manual labor costs

Security & Compliance:

Full regulatory adherence

Biometric to OTL Timecard

Sync biometric attendance logs with Oracle Time and Labor (OTL) 10x faster. Capture check-in/out times and employee IDs, validate and map data, and automate timecard creation for accurate payroll and compliance.

Smart Data Validation & Mapping

Automatically extract key fields like timestamps, employee IDs, and work hours from biometric devices. Validate and format data to OTL’s schema, ensuring faster, error-free timecard processing and payroll accuracy.

Watch Demo

Video Title:

eZintegrations™ | Biometric Devices to OTL Timecard Integration

Duration:

04:54


Outcome & Benefits

Time Savings:

80% faster payroll workflows

Cost Reduction:

$50K/year saved

Accuracy:

95%+ payroll accuracy

Productivity:

3x timecards processed per HR employee

Industry & Function

Function:

HR Automation, Payroll Accuracy, Workflow Integration

System Type:

ERP Integration, Workflow Automation

Industry:

Enterprise HR, Manufacturing, Retail

Functional Details

Use Case Type:

Workforce Time Tracking

Source Object:

Biometric attendance device logs

Target Object:

OTL timecards

Scheduling:

Real-time / Event-triggered

Primary Users:

HR teams, Payroll admins

KPI Improved:

Payroll accuracy, reduced manual entry, time saved

AI/ML Step:

automatic timecard creation, Data mapping, validation

Scalability Tier:

Enterprise-ready, high concurrency

Technical Details

Source Type:

API / Event Stream

Source Name:

Biometric Device Logs

API Endpoint URL:

https://{{your-oracle-instance}}.oraclecloud.com/timeCards

HTTP Method:

POST

Auth Type:

OAuth 2.0

Rate Limit:

1000 req/min

Pagination:

Cursor-based

Schema/Objects:

Attendance logs, Employee IDs, Timestamps

Transformation Ops:

Filter, Map, normalize

Error Handling:

Retry + Alerting

Orchestration Trigger:

Event-driven

Batch Size:

100 logs

Parallelism:

5 threads

Target Type:

Database / ERP

Target Name:

Oracle Time and Labor

Target Method:

Upsert / Create Timecards

Ack Handling:

Confirmed on insert

Throughput:

500 logs/min

Latency:

~2 sec/log

Logging/Monitoring:

Cloud logs + Dashboard

Connectivity & Deployment

On-Premise Supported:

Yes

Supported Protocols:

HTTPS, REST, SFTP

Cloud Support:

AWS, Azure, GCP

Security & Compliance:

Full regulatory adherence

FAQ

1. What is the goal of Biometric Devices to OTL Timecard Integration?

The main goal is to automate workforce time tracking by syncing biometric attendance logs with Oracle Time and Labor (OTL), reducing manual input and ensuring accurate payroll.

2. How are biometric attendance logs processed?

Attendance data such as check-in/check-out times and employee IDs are captured, cleaned, formatted, and mapped to OTL’s timecard schema automatically.

3. Can the integration run in real-time?

Yes. The system supports real-time synchronization, ensuring timecards are created immediately after attendance data is captured.

4. What happens if there is an error during timecard creation?

Errors such as missing employee IDs or connectivity issues are logged, and alerts notify administrators for review and correction.

5. Does the integration support bulk attendance data uploads?

Yes. Large batches of attendance logs can be processed efficiently, enabling seamless bulk uploads to OTL.

6. What are the benefits of integrating Biometric Devices with OTL?

The integration reduces manual effort, minimizes errors, ensures accurate payroll, improves compliance reporting, and accelerates workforce management.

Case Study

Customer Name:

Global Retailer

Problem:

Manual attendance tracking caused errors

Solution:

Automated sync of biometric logs to OTL

ROI:

2?month payback, 3 FTEs redeployed

Industry:

Enterprise HR, Manufacturing, Retail

Outcome:

90% faster, 95% accurate timecards