HRMS migration

Migrate from Infor HCM to BambooHR

Field-level mapping, validation, and rollback between Infor HCM and BambooHR. We move data and schema; workflows are rebuilt natively in BambooHR.

Infor HCM logo

Infor HCM

Source

BambooHR

Destination

BambooHR logo

Compatibility

73%

8 of 11

objects map 1:1 between Infor HCM and BambooHR.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Infor HCM logo

Infor HCM

What's pushing teams away

  • Customers report that the user interface feels dated and that navigating between modules requires more clicks than modern SaaS alternatives, reducing day-to-day efficiency for HR teams.
  • Hidden post-signing costs in the form of setup fees, premium support tiers, and consulting charges surprise organizations that expected transparent per-user pricing.
  • The breadth of the platform creates significant complexity; organizations with simpler HR needs find they are paying for functionality they do not use, and the system is harder to configure than expected.
  • Performance degrades when working with large datasets in Infor LN and related modules, frustrating users who need to run reports or exports against substantial employee populations.
  • Organizations moving to cloud-native HCM platforms like Workday or Dayforce report that the migration itself is difficult due to Infor's non-standard data model and limited public API access.

Choosing

BambooHR logo

BambooHR

What's pulling them in

  • Lowest friction entry point for SMBs moving off spreadsheets — intuitive interface means most teams are functional within days, not weeks.
  • Consolidation value: BambooHR merges ATS, onboarding, HR records, time-off, and payroll into a single pane of glass that employees never need to leave.
  • Volume discounts applied automatically by headcount, so pricing scales predictably as the company grows without renewal negotiations.
  • BambooHR reports most customers go live in four to six weeks, making it a realistic commitment for under-resourced HR teams.
  • Award-winning Support Heroes cited frequently in reviews — responsive human support after implementation is a differentiator.

Object mapping

How Infor HCM objects map to BambooHR

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

maps to

BambooHR

Employee

1:1
Fully supported

Infor 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

maps to

BambooHR

Department

1:1
Fully supported

Infor 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

maps to

BambooHR

Job Title

1:many
Fully supported

Infor 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

maps to

BambooHR

Job History (Compensation section)

1:many
Mapping required

Infor 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

maps to

BambooHR

Benefits

1:1
Mapping required

Infor 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

maps to

BambooHR

Time Off

1:1
Mapping required

Infor 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

maps to

BambooHR

Performance

1:1
Mapping required

Infor 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

maps to

BambooHR

Custom Fields (Employment)

1:1
Mapping required

Infor 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

maps to

BambooHR

Custom Fields

lossy
Fully supported

Infor 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

maps to

BambooHR

Employee Files

1:1
Not supported

Employee 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

maps to

BambooHR

Not applicable

1:1
Mapping required

Infor 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.

Gotchas + challenges

What specifically takes care here

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 logo

Infor HCM gotchas

Medium

IDM document export excludes version history

High

Non-public API requires file-based extraction

Medium

Hidden implementation and consulting costs inflate the real TCO

Medium

Effective-dated history requires sequenced loading

BambooHR logo

BambooHR gotchas

High

Undocumented API rate limits can trigger 503 errors

High

Per-employee pricing model requires active record count verification

Medium

API credentials must be sent on every request to avoid extra round trips

Medium

Custom field schema varies per account and requires manual inventory

Low

Document and attachment exports are not covered by standard report exports

Pair-specific challenges

  • Infor file-based export limits migration automation

    Infor HCM does not expose a well-documented public REST or GraphQL API for bulk record extraction. Most data export relies on IDM tools, CSV or Excel exports from within the application UI, or direct database access in on-premise LN deployments. We work around this by scheduling multiple targeted file exports, chunking large employee populations into separate export runs to avoid timeouts, and coordinating database-level extracts with the customer's IT team under a read-only connection. Migrations with populations above a few thousand employees require multiple extraction sessions that must be sequenced to avoid data inconsistency. This extraction method is inherently slower than API-based migration and adds risk to timeline estimates.

  • BambooHR API excludes several field types and tab data

    BambooHR's API cannot pass Information fields, Section headers, and Multiple Selection List fields. Fields in Time Off, Benefits, Performance, and Onboarding tabs cannot be passed via API at all. Additionally, dropdown field values in BambooHR must exactly match the possible options configured in the destination; there is no API-level validation bypass. During scoping we audit every Infor field type and map it against BambooHR's API field compatibility matrix. Any incompatible field is flagged as a gap and handled through a manual entry guide or a BambooHR admin-assisted import after the bulk migration completes.

  • Effective-dated history must load in strict chronological order

    Infor HCM stores employee changes (job title, compensation, manager assignment, department transfer) as effective-dated rows rather than overwriting the prior record. A single employee can have dozens of historical rows. When migrating to BambooHR's job history table, we must preserve this timeline by loading records in ascending effective-date order, or the employee's job history will not reflect their actual seniority progression. We extract a full history extract before any transformation and sort by effective date as the first transform step. If records are loaded out of order, BambooHR's job history will display incorrectly and cannot be reordered without manual intervention.

  • User-defined field type translation requires explicit schema mapping

    Infor UDFs come in alphanumeric, numeric, date, and text types and are defined in CMS470 sessions. BambooHR custom fields have their own type system with text, number, date, dropdown, checkbox, and other variants. There is no automated translation between Infor UDF types and BambooHR custom field types; each UDF must be manually mapped to a BambooHR field with the correct type during scoping. We pre-create the custom field schema in BambooHR before any employee data loads, but any UDF with an unsupported type (such as an Infor compound field or a structured array) must be decomposed into multiple BambooHR fields or handled as a text blob with documented format.

  • BambooHR suits small-to-mid organizations; large enterprises may outgrow it

    BambooHR is designed for small-to-mid businesses with straightforward HR processes and typically performs best with employee populations under 150. Organizations with complex multi-location structures, union agreements, sophisticated job architecture, or advanced talent management requirements may find BambooHR's feature set insufficient post-migration. We flag this during scoping and ask the customer to confirm their headcount growth trajectory and HR complexity expectations before finalizing the migration scope. If BambooHR turns out to be undersized for the customer's three-year plan, we recommend a mid-tier HCM platform as an alternative destination.

Migration approach

Six steps for a successful Infor HCM to BambooHR data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Infor HCM logo

Infor HCM

Source

Strengths

  • Pre-built industry-specific compliance templates for manufacturing, healthcare, and hospitality reduce configuration work for vertical customers.
  • Multi-jurisdiction payroll engine handles statutory deductions and reporting requirements across many countries from a single platform.
  • Tight ERP integration with Infor LN means HR and financial data share the same database, reducing reconciliation friction for organizations already on Infor.
  • AI-powered tools for resume screening, candidate matching, and engagement analytics are built into the talent management suite.
  • Position management with headcount budgeting and hierarchical approval workflows support organizations with structured workforce planning needs.

Weaknesses

  • Non-transparent pricing with module-level, contract-length, and jurisdiction-based variables creates budget uncertainty during procurement.
  • File-based export approach limits migration automation and requires manual extraction, transformation, and sequencing work for large employee populations.
  • The user interface is frequently described as dated and slower than modern SaaS alternatives, impacting HR team productivity in day-to-day use.
  • Performance degrades when querying large datasets, particularly in Infor LN, which creates bottlenecks during data extraction for migration projects.
  • Limited public API documentation makes it difficult to build automated migration pipelines; most data movement relies on IDM tools and CSV/Excel exports.
BambooHR logo

BambooHR

Destination

Strengths

  • Single platform consolidating ATS, onboarding, HR records, payroll, and time-off reduces system sprawl for SMBs.
  • Fast implementation — BambooHR reports four to six weeks from kickoff to go-live for most customers.
  • Per-employee pricing with automatic volume discounts makes cost predictable as headcount grows.
  • Strong customer support reputation (Support Heroes) cited consistently across G2, Capterra, and direct testimonials.
  • Well-documented API with UTF-8 encoding, clear field types, and HTTPS-only access.

Weaknesses

  • Mobile application is significantly limited compared to the desktop experience, frustrating remote and field workers.
  • Companies above 150–200 employees frequently outgrow the platform's feature depth and customization surface.
  • Limited advanced reporting and analytics compared to enterprise HR platforms — custom report building is the ceiling.
  • PTO and profile customization are pain points — non-standard accrual policies and complex org structures require workarounds.
  • Document management and attachment handling lack the granularity of dedicated document-centric HR systems.

Complexity grading

How hard is this migration?

Standard HRMS migration. All 7 core objects map 1:1 between Infor HCM and BambooHR.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Infor HCM and BambooHR.

  • Object compatibility

    A

    All 7 core objects map 1:1 between Infor HCM and BambooHR.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Infor HCM: Not publicly documented.

  • Data volume sensitivity

    B

    Infor HCM doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Infor HCM to BambooHR migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Infor HCM to BambooHR data migrations

Answers to the questions buyers ask most during Infor HCM to BambooHR migration scoping. Not seeing yours? Book a call.

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Most migrations land between two and four weeks for organizations with fewer than 500 employees and no complex compensation history carry-over. Migrations with multi-year pay history, benefits enrollment data, multi-location org structures, or cross-module dependencies with Infor LN move to five to eight weeks because of the sequencing work, custom field type translation, and reconciliation against BambooHR's job table model. Implementation timelines sourced from G2 review data indicate a two-month average implementation for BambooHR; our migration timeline is additional to BambooHR's own setup and configuration work.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Infor HCM.
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