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Recruitment & Talent Suite

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Vaneet Gupta (21 min read)

Published October 27th, 2025

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Recruitment & talent suite

In modern HCM landscapes, many organizations manage payroll through ADP while using Oracle Fusion for Core HR, recruitment, and talent management. Although this combination leverages the best of both platforms, it also creates a significant integration challenge — ensuring that employee, payroll, and organizational data move accurately and efficiently between the two systems. Manual reconciliation, spreadsheets, and ad hoc validations consume time and increase the risk of errors. Syntra, developed by FirstCron, is an advanced ETL (Extract, Transform, Load) solution designed to automate this process. It extracts HR and payroll data from ADP, transforms it into the correct Oracle Fusion format, and loads it with precision and compliance. By automating data flow, Syntra minimizes manual effort, reduces operational overhead, and ensures that HR, recruitment, and talent teams always work with accurate, up-to-date data.

What Syntra Does At A Glance

Syntra performs three critical functions — extraction, transformation, and loading — to enable seamless integration between ADP and Oracle Fusion. It securely extracts structured HR and payroll data from ADP, cleanses and enriches the information through well-defined transformation rules, and loads the validated data into Oracle Fusion without human intervention. This process eliminates repetitive manual adjustments and ensures consistency across systems. Syntra’s transformation engine also performs effective-date reconciliation, code mapping, and validation checks that ensure every record meets Oracle’s data standards before being imported. The result is a smooth, error-free transfer that improves data integrity and accelerates implementation timelines.

Person / Worker (Demographics & Identifiers)

Employee data is the foundation of all HR, payroll, and talent processes. Syntra ensures that demographic information such as names, identifiers, and contact details are accurately mapped between ADP and Oracle Fusion. Often, the two systems use different structures for employee IDs or national identification formats, which can lead to duplicate or orphan records. Syntra automatically standardizes these fields, merges duplicates, and aligns identifiers so that each worker record remains unique and traceable. This automated transformation provides a reliable base for downstream modules like recruitment, performance, and talent analytics.

Compensation (Salary, Allowances, Deductions)

Accurate compensation data is vital for payroll processing, offer management, and performance reviews. ADP’s payroll exports often use granular earning and deduction codes that don’t align directly with Oracle Fusion’s compensation structure. Syntra consolidates these elements, converts salary periodicity (such as monthly or annual formats), and performs necessary currency conversions. It also ensures that pay elements are correctly mapped to Oracle’s compensation components, minimizing discrepancies between HR and payroll data. This automation eliminates the need for manual reconciliation and ensures consistent compensation data for reporting and decision-making.

Payment Methods & Bank Details

One of the most error-prone areas during data migration is employee bank and payment information. Each region has its own banking format and validation requirements. Syntra automatically validates bank account details, standardizes IBAN and routing formats, and encrypts sensitive data during transfer. It also aligns payment method types with Oracle Fusion’s accepted structures, ensuring that payroll runs are processed without rejection or delay. By automating this process, Syntra removes the dependency on manual checks and enhances the accuracy of payroll disbursements.

Tax Attributes & Statutory Data

Tax compliance requires precision, especially when integrating data between systems with different regional configurations. Syntra maps ADP tax codes to Oracle’s tax attributes, ensuring that filing statuses and local statutory data align with jurisdictional requirements. It applies built-in validation rules to confirm that all necessary fields are populated correctly before loading. This level of automation helps organizations stay compliant while reducing the need for repetitive manual audits and corrections that typically occur during payroll synchronization.

Costing, Accounting Segments & Charge Codes

For finance and HR teams, alignment between payroll costing and Oracle Fusion’s chart of accounts is crucial. ADP’s costing structures often differ in segment length and format from Oracle’s accounting strings. Syntra intelligently maps and reconfigures costing data to match Oracle’s structure while maintaining financial accuracy. This ensures that all workforce-related costs are correctly accounted for in financial reports and analytics. As a result, recruitment, talent, and finance leaders can rely on consistent costing data for budgeting, forecasting, and workforce planning.

Effective Dating & Lifecycle Integrity

A core feature of Oracle Fusion is its effective-dating model, which tracks all employment events — hires, promotions, transfers, and terminations — along a timeline. Syntra ensures this integrity is maintained by reconciling overlapping dates and consolidating multiple changes into a single accurate snapshot. This eliminates data conflicts and preserves the historical accuracy of employee records. As a result, HR and recruitment teams can generate more reliable reports and maintain compliance with audit and regulatory requirements.

Absences, Leave Balances And Entitlements

Leave data is another key area where transformation is required. ADP and Oracle Fusion define leave types and accruals differently, which can create inconsistencies in entitlement balances. Syntra normalizes leave types, converts units into the format accepted by Oracle, and ensures that all accrual and carry-forward rules are mapped correctly. This automated consistency improves employee experience by providing accurate leave balances and ensures payroll is aligned with absence data.

Payroll Results / Earnings Lines (for Reconciliation)

Reconciling payroll results between ADP and Oracle Fusion can be complex when earning and deduction lines are formatted differently. Syntra simplifies this by expanding or summarizing payroll lines as needed, attaching costing details, and preparing reconciliation-ready data that ensures both systems reflect consistent results. This helps finance and HR departments close payroll cycles faster and with fewer manual interventions.

How Syntra Saves Time And Effort

The greatest value of Syntra lies in its ability to eliminate repetitive, error-prone manual work. Its prebuilt mapping logic, built-in validations, and configurable transformation rules drastically reduce the time needed for data migration and integration. By validating records before they reach Oracle Fusion, Syntra prevents common errors that lead to failed loads and rework. The platform also supports effective-date reconciliation and continuous monitoring, enabling a repeatable, automated pipeline that supports both one-time migrations and ongoing operations. Organizations using Syntra can reduce implementation time, improve data reliability, and free up HR and IT teams to focus on strategic talent initiatives rather than data fixes.

Closing Thoughts

For HR, recruitment, and talent leaders, Syntra delivers more than just system integration — it ensures that the data driving every decision is accurate, compliant, and up to date. By focusing on transforming key objects like employee data, assignments, compensation, tax, and costing, Syntra replaces cumbersome manual work with a governed, automated pipeline. The result is faster implementations, smoother payroll runs, reliable analytics, and stronger alignment between HR and finance. In an era where organizations rely heavily on real-time workforce insights, Syntra stands out as a strategic enabler that connects payroll precision with talent intelligence — empowering enterprises to operate more efficiently and make smarter, data-driven decisions.

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