Migration route
Workday→SAP SuccessFactorsMigrate workers, job history, compensation from Workday HCM to SAP SuccessFactors Employee Central using a controlled process for extraction, mapping, transformation, validation, loading and reconciliation.
The reverse of the more common route, usually driven by consolidation onto an SAP estate. Both ends are cloud platforms with no database, so the entire migration runs through vendor mechanisms.
The defining work is converting Workday's event-based history into the effective-dated row model Employee Central expects, in an order Employee Central will accept.
Scope is agreed in discovery. On this route it usually covers:
Domain in scope for a typical Workday to SAP SuccessFactors programme.
Domain in scope for a typical Workday to SAP SuccessFactors programme.
Domain in scope for a typical Workday to SAP SuccessFactors programme.
Domain in scope for a typical Workday to SAP SuccessFactors programme.
One controlled pipeline, run as repeatable cycles.
What the source platform makes available, and the constraints that shape the extraction design.
A mapping workbook carries every field in scope from its Workday source through its transformation rule to the SAP SuccessFactors target object and field. It is reviewed and approved with the business before the production migration, and applied identically in every cycle so a decision made once is not re-made under cutover pressure.
The differences between Workday and SAP SuccessFactors that create most of the work.
Report design is a migration deliverable. A field nobody reported on cannot migrate.
Workday events become chronologically sequenced, non-overlapping dated rows, each referencing Foundation Objects that already exist.
Workday's organisational model is re-expressed as Legal Entity, Business Unit, Department, Location and Cost Center, which load before any worker.
Either dependency-ordered loading or a second pass once the full population exists.
Employee Central enforces per-country requirements on biographical and employment data that Workday may not have captured in the same shape.
Load order is part of the design, not an implementation detail.
Employee Central rejects a worker whose department, position, job classification or manager does not already exist, which makes load order part of the design rather than an implementation detail.
Mandatory fields, referential integrity, format checks, business-rule validation and duplicate detection run on the prepared data, so problems surface as reportable exceptions rather than as failed loads in SAP SuccessFactors.
Source counts, transformed counts, rejected records and target counts, with control totals where the data supports them. Every discrepancy is categorised so the migration is approved on evidence rather than assertion.
The pipeline is run end to end more than once before anything touches production. A typical structure is a first rehearsal that surfaces the bulk of mapping and data-quality corrections, a second that applies them and demonstrates production readiness, and the production cutover itself. How many cycles a programme needs depends on data quality and scope, which is established during discovery.
Employee Central rejects a worker whose referenced objects do not exist.
Prove coverage in the first cycle.
Overlapping dated rows are rejected outright.
Extraction, mapping, transformation and load preparation for SAP SuccessFactors.
Explore DataMove →Source-to-target reconciliation, migration lineage and audit evidence for every cycle.
Explore DataVault →Migration status, data quality and exception visibility across cycles.
Explore DataLens →We have not published a case study for this exact route. These delivered projects are the closest relevant experience.
Workers, Job history, Compensation, Foundation data
View route →Workday→Oracle HCM CloudWorkers, Assignments, Compensation, Absence
View route →PeopleSoft→SAP SuccessFactorsCore HR, Job history, Compensation, Organisational data
View route →Oracle JD Edwards→SAP SuccessFactorsCore HR, Organisational data, Compensation, Employment history
Case study available →Tell us your source system, target platform, modules, data volumes and timeline. We can discuss the closest relevant migration experience and the recommended approach.