10x Faster: Biometric to OTL Timecard Integration
$0.00
| 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 |
Table of Contents
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 |


