HRMS migration
Field-level mapping, validation, and rollback between Infor HCM and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.
Infor HCM
Source
BambooHR
Destination
Compatibility
8 of 11
objects map 1:1 between Infor HCM and BambooHR.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Infor HCM to BambooHR is a data model simplification as much as a migration. Infor HCM stores employee data across effective-dated rows, position hierarchies, and industry-specific fields that require careful sequencing, while BambooHR uses a flat job-history table, standard department and division lists, and a defined set of custom field types. We extract the full Infor history before any transformation, load departments and job titles first so that employee records can reference them, and sequence compensation entries in ascending effective-date order to preserve the pay timeline in BambooHR's job table. Multi-jurisdiction payroll calculation rules, IDM document version histories, and Infor's position management hierarchies do not migrate because BambooHR does not model those structures; we flag each gap explicitly. Workflows, approval chains, and pay calculation rules are documented in a written inventory for the customer's HR admin to rebuild in BambooHR or a separate automation tool.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Infor HCM object lands in BambooHR, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Infor HCM
Employee
BambooHR
Employee
1:1Infor employee records map directly to BambooHR employee records. We extract biographical fields (name, date of birth, hire date, termination date, employment status, employee number), emergency contacts, and address data via file export. The BambooHR employee record is the parent; we map the Infor employment status values (Active, Terminated, On Leave, etc.) to BambooHR's status list, and we flag any Infor-specific status value that requires a custom BambooHR field for accurate representation. We load employees after department and job title lists are in place so that the department and job title references resolve at insert time.
Infor HCM
Organizations / Departments
BambooHR
Department
1:1Infor org structures are stored as hierarchical trees with cost center and location associations. We traverse the parent-child tree and flatten it into BambooHR department records, preserving the top-level org unit as the root department. Cost center values that have no BambooHR equivalent become either department names or a custom department field, depending on the customer's preference during scoping. The migration must load departments before employees so that the department reference on each employee record is valid at insert time.
Infor HCM
Position
BambooHR
Job Title
1:manyInfor positions define headcount slots with grade, salary range, and manager associations. BambooHR does not model positions as a separate object; instead it uses a flat job title list attached to the employee record. We extract distinct Infor position titles, merge them into a deduplicated BambooHR job title list, and map the employee's primary position title to the BambooHR job title field. Salary grade information from Infor positions migrates as a custom field in BambooHR rather than as a structured grade table because BambooHR does not support a native position-budget model.
Infor HCM
Compensation History
BambooHR
Job History (Compensation section)
1:manyInfor stores compensation changes as effective-dated rows (salary, bonus, equity, pay rate changes). We extract the full compensation history table in ascending effective-date order and load each row as a BambooHR job history entry with the corresponding effective date, compensation amount, and pay type. BambooHR's job table supports multiple entries per employee with effective dates, which matches Infor's history model. We flag the Infor pay frequency (annual, hourly, salaried) and map it to BambooHR's pay rate type. Multi-currency compensation entries require currency conversion or storage in a custom field; we flag this during scoping.
Infor HCM
Benefits Enrollments
BambooHR
Benefits
1:1Infor benefit plans, enrollment elections, and coverage tiers map to BambooHR benefits tracking. We extract the current benefit elections per employee (health, dental, vision, 401k, etc.) and load them as BambooHR benefit records. Benefit plan identifiers are Infor-specific and will not match any BambooHR plan list, so we create custom benefit type fields and enter plan names as free text. Historical enrollment elections (prior year elections) migrate as a benefits history note or custom text field. We do not migrate the underlying Infor benefits administration configuration because BambooHR's benefits module is for tracking elections, not administering plan rules.
Infor HCM
Time and Attendance
BambooHR
Time Off
1:1Infor Workforce Management stores time entries, absence balances, and accrual calculations. We extract current accrual balances (PTO, sick, personal) and load them as BambooHR time-off balances at the employee's hire date or the migration effective date. Infor accrual calculation rules (accrual rates, carryover limits, negative balance policies) are Infor-specific and do not transfer to BambooHR; we document them in a written benefits administration configuration summary for the customer's HR admin to rebuild in BambooHR's time-off policy settings.
Infor HCM
Performance Reviews / Goals
BambooHR
Performance
1:1Infor Talent Management stores completed review cycles, ratings, and goal alignments as structured records. We extract completed review data as a flat BambooHR performance record with the review date, overall rating, and reviewer name. Infor competency ratings and goal descriptions migrate as custom fields in BambooHR. Review template structures, rating scales, and competency frameworks are Infor-specific and do not map directly to BambooHR's performance module; we deliver a written performance template inventory for the customer's admin to configure in BambooHR.
Infor HCM
Talent Profiles / Skills
BambooHR
Custom Fields (Employment)
1:1Infor Talent Science stores skills, certifications, and credential data linked to employee records. We extract these as tagged attributes and map them to BambooHR custom fields on the employee record. Skill taxonomies differ between Infor and BambooHR; we create a custom skill taxonomy in BambooHR that matches the customer's most-used Infor skill tags during scoping. Certifications and credentials migrate as custom fields with expiration dates where applicable.
Infor HCM
User-Defined Fields
BambooHR
Custom Fields
lossyInfor M3 and HCM support alphanumeric, numeric, date, and text user-defined fields defined in CMS470 sessions. We extract every UDF attached to employee, position, and compensation records and map each to the equivalent BambooHR custom field type (text, number, date, dropdown, checkbox, etc.). Infor multi-select UDFs require a custom field in BambooHR. We pre-create the custom field schema in BambooHR before any employee data loads so that the fields are available during import. Any Infor UDF that has no equivalent BambooHR field type is documented as a custom-field gap for the customer to resolve.
Infor HCM
Documents
BambooHR
Employee Files
1:1Employee documents stored in Infor Document Management (IDM) or SharePoint integration do not migrate through the standard IDM export because the export tool only exports the current version of each document, not the full version history. If document version history is a compliance requirement, we recommend a supplemental extraction through the customer's IT team. We migrate current-version documents as file attachments on the corresponding BambooHR employee record where the employee file feature is available, but we flag this as a partial migration with version history loss.
Infor HCM
Payroll / GL Transactions
BambooHR
Not applicable
1:1Infor payroll journal entries and GL postings live in Infor LN's financial module, not in HCM proper. Pay calculation rules, tax jurisdiction configurations, and earnings codes are Infor LN-specific and do not have equivalents in BambooHR's payroll add-on module. We do not migrate payroll transaction history. We extract the employee's current pay rate, pay frequency, and exempt/non-exempt FLSA status and load those into BambooHR's compensation section as the current active pay entry. Multi-jurisdiction tax withholding configurations are not portable.
| Infor HCM | BambooHR | Compatibility | |
|---|---|---|---|
| Employee | Employee1:1 | Fully supported | |
| Organizations / Departments | Department1:1 | Fully supported | |
| Position | Job Title1:many | Fully supported | |
| Compensation History | Job History (Compensation section)1:many | Mapping required | |
| Benefits Enrollments | Benefits1:1 | Mapping required | |
| Time and Attendance | Time Off1:1 | Mapping required | |
| Performance Reviews / Goals | Performance1:1 | Mapping required | |
| Talent Profiles / Skills | Custom Fields (Employment)1:1 | Mapping required | |
| User-Defined Fields | Custom Fieldslossy | Fully supported | |
| Documents | Employee Files1:1 | Not supported | |
| Payroll / GL Transactions | Not applicable1:1 | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Infor HCM gotchas
IDM document export excludes version history
Non-public API requires file-based extraction
Hidden implementation and consulting costs inflate the real TCO
Effective-dated history requires sequenced loading
BambooHR gotchas
Undocumented API rate limits can trigger 503 errors
Per-employee pricing model requires active record count verification
API credentials must be sent on every request to avoid extra round trips
Custom field schema varies per account and requires manual inventory
Document and attachment exports are not covered by standard report exports
Pair-specific challenges
Migration approach
Discovery and extraction planning
We audit the Infor HCM environment to identify all active modules (HCM Core, Talent Management, Workforce Management, Benefits), the extraction method available (IDM file export, CSV/Excel from application UI, or direct LN database read-only access), and the employee population size. We extract a full employee list with department assignments, job titles, and employment status as the first data pull to establish baseline record counts. We simultaneously review BambooHR's API field names against the BambooHR field documentation to build a preliminary field compatibility matrix. The discovery output is a written extraction plan, a preliminary field mapping document, and a BambooHR custom field creation checklist.
Schema design and custom field provisioning
We design the destination schema in BambooHR. This includes creating all required custom fields mapped from Infor UDFs with the correct BambooHR field types, configuring department and division lists with the Infor org hierarchy translated into BambooHR's flat structure, setting up job titles from Infor position titles, and configuring any BambooHR employment status values that correspond to Infor status codes. The BambooHR admin provisions custom fields in the BambooHR settings before any data import begins. We deploy into a BambooHR test environment first for validation, then production.
Test migration and reconciliation
We run a full migration into BambooHR using a subset of employee records (typically 10-20 records) to validate the field mapping, confirm that dropdown values match BambooHR's configured options, verify that effective dates sort correctly in BambooHR's job history, and confirm that custom fields populate as expected. The customer's HR lead spot-checks the test records against the Infor source and signs off the mapping before production migration begins. Corrections to field mapping, custom field types, or department structure happen at this stage.
Department, division, and job title load
We load organizational data first: BambooHR departments from Infor org units, divisions from Infor cost centers or business units, and job titles from Infor position titles. These records must be present and validated before any employee records load because BambooHR employee records reference department and job title by ID. We run a row-count reconciliation after each organizational data load and pause until the count matches the Infor source.
Employee, compensation, and supplemental data load
We run the production migration in dependency order: employees first (with department and job title IDs resolved), then compensation history entries in ascending effective-date order, then time-off balances, benefits enrollment data, and performance review records. Each phase emits a row-count reconciliation report before the next phase begins. We load Infor user-defined field values into the corresponding BambooHR custom fields for each employee record. Any BambooHR API-incompatible fields (Information fields, Multiple Selection Lists, tab-specific fields) are flagged in the reconciliation report and handled through a supplemental manual-import guide.
Cutover, validation, and documentation handoff
We freeze Infor HCM writes during a cutover window of 24-48 hours, run a final delta migration of any records modified during the window, then enable BambooHR as the system of record. We deliver a written document that inventories every Infor workflow, approval chain, pay calculation rule, and benefits administration configuration that requires rebuild in BambooHR or a separate tool. We support a one-week hypercare window where we resolve any field-level reconciliation discrepancies. We do not rebuild Infor workflows, automations, or payroll calculation rules as BambooHR workflows inside the migration scope; that is a separate engagement or an internal HR admin task.
Platform deep dives
Infor HCM
Source
Strengths
Weaknesses
BambooHR
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. All 7 core objects map 1:1 between Infor HCM and BambooHR.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Infor HCM and BambooHR.
Object compatibility
All 7 core objects map 1:1 between Infor HCM and BambooHR.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Infor HCM: Not publicly documented.
Data volume sensitivity
Infor HCM doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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