Cross-Platform Migration

Cross-Platform Data Migration Between Business Applications

Move structured and unstructured data, current and historical, between any approved source and target application — not just to Oracle Fusion.

Migration Between Business Applications

Not every migration ends at Oracle Fusion. SyntraETL moves data from an approved source application to an approved target application — ERP, HCM, payroll, CRM or a legacy system — combining reusable connectors with configurable target mappings and interfaces rather than claiming every source-target pair is preconfigured out of the box.

Examples of the kind of moves this covers: UKG Ready to Workday, Paylocity to Tyler MUNIS, SAP SuccessFactors to Oracle HCM, ADP to Oracle HCM, NetSuite to NetSuite (post-acquisition consolidation), and legacy systems to modern cloud applications.

Product Ownership

DataMove

Connects to the source and target, extracts and transforms data, generates target-ready output and loads it.

DataVault

Preserves source, transformed and target states, and reconciles the result.

DataLens

Shows migration progress, data quality and reconciliation status across the cycle.

Platform Pathways

Cross-platform migration covers moves between any of these ecosystems, not just into or out of one specific vendor.

Oracle

SAP

  • SAP ECC
  • SAP S/4HANA
  • SuccessFactors and Employee Central Payroll
  • SAP-to-Oracle migration

Workday

  • Migration into and out of Workday
  • Workday HCM and Payroll
  • UKG-to-Workday
  • Workday integration and archival

Microsoft Dynamics 365

  • Migration into and out of D365
  • D365 F&O archival
  • Dataverse storage reduction
  • D365 integration

NetSuite

  • NetSuite-to-NetSuite consolidation
  • NetSuite-to-Oracle
  • Legacy ERP-to-NetSuite
  • NetSuite archival

HCM and Payroll Platforms

  • UKG
  • ADP
  • Dayforce
  • Kronos, Paylocity and Paychex

Migration Patterns

One Source to One Target

The most common pattern — move a single application's data to a single replacement application.

Multiple Sources to One Target

Consolidate several legacy or regional instances into one target application.

One Source to Multiple Targets

Split a single source's data across multiple target applications by domain or business unit.

Platform Consolidation

Merge redundant instances of the same application following M&A or shared-service transformation.

Carve-Out or Divestiture

Separate a subset of an application's data for a divested business unit, entity or region.

Historical-Data Separation

Split current operational data from historical records so each can follow different retention and access rules.

Migration Plus Archival

Move active data to the new target while the remainder is preserved in a governed archive rather than migrated.

Business Domains

ERP and Finance

General ledger, payables, receivables, fixed assets, cash, projects, budget and planning.

HCM and Payroll

Worker history, assignments, compensation, benefits, payroll, time and absence, talent and learning.

Procurement

Suppliers, contracts, requisitions, purchase orders, receipts, catalogues and sourcing events.

Learning

Courses, offerings, assignments, completions, certifications and SCORM content.

CRM

Accounts, contacts, opportunities, activities and related sales or service history.

Documents and Attachments

Employee documents, invoices, purchase orders, contracts, payslips, tax forms and learning content.

What's In Scope

Any supported source to an approved target
Structured and unstructured data
Current and historical data
Full and delta migration
Multi-source consolidation
Multi-target delivery
Data quality and cleansing
Transformation and mapping
Reconciliation at every stage
Documents and attachments
Cutover planning
Archive treatment for what isn't migrated

How a Cross-Platform Migration Runs

The same five-stage model used across SyntraETL applies here: connect to the source, extract complete or incremental data, transform and validate against the target's rules, deliver the target-ready output, then reconcile source against target at record, field and control-total level. What changes per project is the connector on each end and the transformation rules in between — not the underlying discipline.

Where a target has no prebuilt connector, SyntraETL builds a configurable interface against the target's own API, flat-file or bulk-load mechanism rather than fabricating a "certified" integration that doesn't exist.

Security and Privacy

Encryption in transit and at rest
Role-based access
Controlled approvals
Secure file transfer
Sensitive-data handling
Customer-defined retention
Access logging
Restartable processing

Indicative Timeline

Project TypeIllustrative RangeQualification
Small payroll archive6–10 weeksDepends on export access, reports and documents
Single-system archival8–14 weeksDepends on history, attachments and reporting
Cross-platform HCM migration10–20 weeksDepends on objects, payroll and mock cycles
Enterprise ERP migration12–30+ weeksDepends on modules, volumes and target readiness
Ongoing integration6–16 weeksDepends on API access and interface complexity
Multi-country payrollDiscovery requiredCountry rules and target specifications drive effort

Ranges above are illustrative starting points, not quotes — every programme is scoped individually.

Information We Need for an Estimate

Source and target systems
Objects/modules in scope
Active and historical record counts
Years of history to retain
Attachments and total storage
Extraction method available
Target interface available
Custom transformations needed
Number of migration cycles
Cutover date
Archival and reporting requirements
Security and hosting requirements

Frequently Asked Questions

Does SyntraETL support any source-to-target combination?+

SyntraETL combines reusable connectors with configurable target mappings and interfaces. Coverage depends on whether the source and target have accessible extraction/load mechanisms (APIs, bulk files, or approved database access) — not every pair is preconfigured, but most enterprise applications expose one of these paths.

Is this the same as a one-time migration?+

It can be either a one-time migration or a repeatable set of cycles (mock, UAT, dress rehearsal, production), depending on the project. For ongoing, recurring synchronization between two live applications, see Enterprise Data Integration instead.

What happens to data that isn't migrated?+

Data that stays behind can be handled through SyntraETL's archival capabilities — preserved in a searchable, governed archive rather than left stranded in a system being retired.

Can historical and current data both be migrated?+

Yes. Full and incremental (delta) extraction both apply, so current operational data and historical records can be handled with different rules where the target system treats them differently.

Discuss Your Cross-Platform Migration

Tell us your source system, target system, data volumes and timeline.