Migration route
SAP SuccessFactors→WorkdayMigrate workers, job history, compensation from SAP SuccessFactors Employee Central to Workday HCM using a controlled process for extraction, mapping, transformation, validation, loading and reconciliation.
SuccessFactors to Workday moves between two cloud HCM platforms that both model organisational reference data as first-class objects — Foundation Objects on one side, supervisory organisations and job profiles on the other — and neither maps cleanly onto the other.
The route generally follows a wider platform decision rather than a functional gap, so it runs to a business date and the archive question for history is settled early.
Scope is agreed in discovery. On this route it usually covers:
Domain in scope for a typical SAP SuccessFactors to Workday programme.
Domain in scope for a typical SAP SuccessFactors to Workday programme.
Domain in scope for a typical SAP SuccessFactors to Workday programme.
Domain in scope for a typical SAP SuccessFactors to Workday 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 SAP SuccessFactors source through its transformation rule to the Workday 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 SAP SuccessFactors and Workday that create most of the work.
Legal Entity, Business Unit, Division, Department and Location re-express as supervisory organisations, cost centres and locations. The target structure is designed, not derived.
SuccessFactors history is a set of effective-dated rows; Workday reconstructs it through staged events. Conversion is explicit and order-sensitive.
OData extraction on one side and EIB or Core Connector loads on the other, each with its own throughput characteristics that shape cycle length.
Coded values are crosswalked against the target's own configuration rather than assumed compatible.
Whether positions are in scope changes the load sequence materially on the Workday side.
Load order is part of the design, not an implementation detail.
Treating a Workday load like an ERP insert is the single most common cause of a failed first cycle. Events, effective dating and the business process framework decide what a load actually does.
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 Workday.
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.
Without an agreed Workday organisational model there is nothing stable to map onto.
Produces a correct current state with unusable history.
Both sides are rate-governed; test in cycle one.
Extraction, mapping, transformation and load preparation for Workday.
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 →PeopleSoft→WorkdayWorkers, Job data, Compensation, Absence
View route →UKG→WorkdayWorkers, Job data, Payroll, Time and attendance
Case study available →SAP SuccessFactors→Oracle HCM CloudWorkers, 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.