Three years for specified payroll records, two years for specified wage-supporting records, and one year for certain personnel records: retention periods do not fit one clean HRIS setting. Retention also does not mean every record belongs inside the new system. An HR or operations buyer must decide what to migrate, what to archive, and what cannot remain unresolved before signing the implementation order.
A vague conversion scope can hide cleansing labor, change orders, failed payroll inputs, and employee records stranded in a rejection file. Before purchase, make the vendor prove conversion against field-level source data.
Audit HRIS Data Before Migration: Map Every Field, Owner, and Rejected Record shown with practical context cues.
Key takeaways
- Inventory every authoritative source, archive, interface, attachment, and historical period.
- Give every field mapping and transformation rule an accountable business owner.
- Contract for defined load cycles, corrections, reconciliation evidence, and acceptance criteria.
- Treat warnings, defaults, and omitted records as seriously as hard import errors.
- Require a representative conversion test before the HRIS purchase decision.
Contents
The audit moves from source scope to purchase decision in six steps.
- Audit source systems and required history.
- Build the field-mapping workbook.
- Define conversion work in the statement of work.
- Control validation failures and rejected records.
- Reconcile mock loads and set cutover criteria.
- Run a data-conversion proof before purchase.
What must an employer audit before selecting an HRIS migration package?
An HRIS data audit should cover every source, field, historical period, attachment, code set, and integration before the vendor estimates migration effort. Record the legal entities, countries, worker populations, proposed modules, target go-live date, and known source defects.
The HRIS source inventory must identify every system of record
| Source category | Audit details | Scope decision |
|---|---|---|
| Authoritative system | Business and technical owners, source keys, record count, and date range | Full or incremental extract, attachments, and audit history |
| Reference source or archive | Extraction method, nulls, duplicates, invalid dates, and obsolete codes | Migrate, cleanse, or retain under controlled access |
| Downstream consumer | Employee, position, organization, payroll, benefit, and time dependencies | Rebuild, replace, or retire the interface |
Test extraction rights and usable file formats against the cloud HR platform data portability and exit terms.
HRIS migration scope must separate required history from optional archives
For employers covered by the applicable Fair Labor Standards Act recordkeeping rules, specified payroll records require at least three years, while specified supplementary records used to determine wages require two years. For employers covered by 29 CFR § 1602.14, personnel or employment records generally require one year from creation or the personnel action, whichever is later. Personnel records for an involuntary termination require one year from the termination date under the same rule. Other jurisdictions or disputes may impose longer periods.
Define archive access separately from operational migration, especially when performance reviews, goals, succession records, or attachments are covered by broader talent management data requirements. Once the history decision is settled, the field-mapping workbook can expose the actual conversion work.
An HRIS field-mapping workbook must define source, target, owner, and transformation
A usable HRIS mapping workbook must do more than match column names. For each module and worker population, record the source field, target object, format, allowed values, transformation rule, default behavior, data owner, validation status, and disposition for values that cannot be loaded without loss or ambiguity.
Which columns belong in an HRIS field-mapping table?
Build the workbook from current vendor data dictionaries and import templates. Compare them with source definitions, code lists, maximum lengths, effective dates, source keys, and object relationships.
- A unique mapping ID linked to its test case and reload result.
- Source system, table, field, type, length, definition, and authoritative owner.
- Target object, field, requirement condition, format, allowed values, and dependency.
- Rules for nulls, defaults, code translations, splitting, date conversion, and derived values.
- Validation result, rejection reason, unresolved decision, owner, and due date.
- Status limited to proposed, approved, blocked, tested, or retired.
An approved mapping must state what happens when a value exceeds the target length, uses an obsolete code, lacks a required parent, or conflicts with another source. “Load as provided” is not a transformation rule.
HRIS transformation rules must be approved by accountable data owners
Mechanical changes, such as converting a date format, can follow a documented technical rule. Business changes need approval from the function that owns the result. Payroll should approve earnings-code translations, benefits should approve eligibility mappings, HR should approve worker-status and manager rules, and finance should approve cost-center treatment.
IT and security should control extraction, SFTP handling, access, and deletion. Record the approver, decision date, evidence, and tested result before a rule enters a mock or production load. The contract then needs to protect those decisions.
What HRIS migration work must the statement of work define?
The HRIS statement of work should define migration by data object, volume, history, load cycle, correction responsibility, and acceptance criterion. A promise of “standard conversion” is too weak for multiple entities, acquired-company records, custom fields, or payroll history.
HRIS migration assumptions must be converted into contractual limits
Review the statement of work, order form, implementation schedule, assumptions, exclusions, and change-order terms together. Check these scope risks:
- Undefined objects: Name included workers, jobs, positions, compensation, deductions, balances, dependents, attachments, and effective-dated history.
- Unbounded files: State permitted formats, record limits, historical periods, attachment allowances, and custom-field treatment.
- Unclear load cycles: Define each mock, delta, final load, correction pass, and reload included in the fee.
- Split responsibility: Assign extraction, cleansing, translation, configuration, SFTP delivery, upload, correction, and reconciliation.
- Hidden change orders: Price extra files, repeated loads, custom transformations, late data, and failed employer deliverables.
An inaccessible or malformed source extract can derail the plan before loading begins. Any scope change should require a documented effect on price, schedule, responsibilities, and approval authority.
HRIS acceptance criteria must cover loaded data, not file receipt
Accept the conversion only after target records pass field-level validation, control totals reconcile, effective-dated relationships remain intact, and every exception has a recorded disposition. Successful SFTP delivery or file upload is not completion.
Acceptance evidence should include source and loaded counts, applicable aggregate balances, exception reports, reload results, and residual risks approved by named HR, payroll, or finance owners. The contract must therefore connect directly to the rejection workflow.
How must an HRIS handle validation failures and rejected records?
An HRIS migration process must keep every rejected record in a traceable queue with its source identifier, failed field, validation rule, error message, owner, correction status, and reload result. Silent truncation and undocumented defaulting should count as failed controls for payroll, identity, banking, tax, benefit, and supervisory data.
How must an HRIS handle validation failures and rejected records shown with practical context cues.
The HRIS rejection queue must preserve record-level traceability
The queue should preserve the original source key and value alongside any target identifier. Each error needs a severity, accountable owner, due date, correction decision, retest result, and closure status. A corrected SFTP file must not overwrite evidence of the first failure or conceal records omitted from the reload.
Test the workflow with an actual vendor error file. Confirm that row identifiers, field names, error codes, and messages remain usable after partial-file acceptance, duplicate detection, invalid-reference checks, and reloads. The audit log should show who changed, reassigned, exported, or closed each error.
HRIS warnings and defaults require the same review as hard errors
A successful load is not proof of a correct load. Ask the vendor to define errors, warnings, informational messages, and automatic corrections. Identify every field that the import process can truncate, normalize, default, detach from a parent object, or assign to a fallback code.
The HRIS should provide a report or query for affected records. Compare loaded values with source values, especially effective dates, bank fields, tax codes, benefit elections, manager relationships, org-unit trees, and unsupported characters.
Rejected HRIS records need security and escalation rules
Migration error files can expose personal, payroll, tax, banking, and benefit data. Apply employer-approved controls for encryption, SFTP transfer, role-based access, exports, retention, deletion, and incident response. When records are relevant to a covered discrimination charge or enforcement action, 29 CFR § 1602.14 requires retention through final disposition under its stated conditions.
Define which unresolved errors stop payroll, benefits enrollment, identity provisioning, or production cutover. Name the decision authority before testing begins. Once the rejection queue is controlled, mock loads can prove whether the converted population is complete and usable.
HRIS mock loads must reconcile counts, values, balances, and relationships
An HRIS mock conversion is acceptable only when the employer can reconcile the source extract, staged file, accepted records, rejected records, and target results. Record counts alone cannot prove that code translations, balances, effective dates, and relationships survived conversion.
Which HRIS reconciliation controls belong in each mock load?
Schedule mock loads after relevant configuration is stable and before integrations, payroll tests, and cutover rehearsals depend on converted data. Reviewers need the source files, SFTP transfer log, load report, rejection queue, reload results, and signed reconciliation record.
- Counts: Compare control totals at source-to-stage, stage-to-load, and load-to-target points.
- Values: Sample different worker statuses, entities, source keys, code translations, and effective dates.
- Balances: Reconcile payroll balances, deductions, tax data, benefit elections, and accruals where included.
- Relationships: Test manager trees, positions, legal entities, dependents, and attachments. For time data, test scheduling data against payroll rules.
HRIS cutover readiness requires explicit stop and proceed criteria
Define permitted defects by severity and data domain, required retests, and sign-off authority for HR, payroll, benefits, IT, and security. The cutover plan should also name the escalation path, rollback trigger, reload window, continuity procedure, and employee-support owner.
These controls establish the conversion proof a vendor should complete before the implementation clock starts.
An HRIS vendor should pass a data-conversion proof before purchase
An HRIS vendor should complete a representative conversion exercise before purchase when the employer has complex history, custom codes, multiple entities, or unreliable source data. Use anonymized records to expose validation behavior and confirm who resolves defects, how corrected records are reloaded, and what evidence supports acceptance.
Which HRIS migration scenarios belong in a scripted vendor test?
Test ordinary employee records alongside invalid dates, duplicate source keys, missing required fields, obsolete codes, effective-dated history, cross-entity transfers, and workers with missing manager or org-unit relationships. Define the expected result for every record before the test.
Require accepted and rejected counts, field-level messages, warnings, defaulted values, rejection exports, and reload results. The exercise should show whether employer-specific translations and transformations require configuration, custom work, or manual cleanup.
Disqualify a vendor when a required data domain cannot be loaded, reconciled, secured, or corrected through a controlled process. Buy the HRIS only after decision owners can see the conversion workload, accountable owners, unresolved records, and full cost.