HRMS migration

Migrate from Infor HCM to Crelate

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

Infor HCM logo

Infor HCM

Source

Crelate

Destination

Crelate logo

Compatibility

75%

9 of 12

objects map 1:1 between Infor HCM and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Infor HCM to Crelate is a domain-shift migration: Infor HCM is an enterprise HRMS covering payroll, benefits, workforce management, and talent across a multi-jurisdiction workforce, while Crelate is a recruiting-focused ATS and CRM built for staffing agencies and in-house talent acquisition teams. The migration scope centers on Infor's Talent Management module—candidate profiles, talent profiles with skills and certifications, job requisitions, and placement histories—mapped into Crelate's Contact (candidate), Job, and Placement objects. We preserve effective-dated history from Infor as Crelate candidate activity records, and we remap Infor's skill taxonomy to Crelate's tagged attribute structure. Compensation history, benefits enrollments, performance reviews, payroll data, and Infor Document Management files do not have Crelate equivalents and are explicitly excluded. We deliver a written inventory of any Infor workflows or approval chains requiring manual rebuild in Crelate's task and automation tools post-migration.

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

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How Infor HCM objects map to Crelate

Each row shows how a Infor HCM object lands in Crelate, 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 / Talent Profile

maps to

Crelate

Contact (Candidate)

1:1
Fully supported

Infor employee records from the Talent Management module map to Crelate Contact records as candidates. Standard biographical fields (name, email, phone, address) migrate directly. Infor's user-defined fields on talent profiles (defined in CMS470 or HCM configuration sessions) are mapped to Crelate custom fields on the Contact object. The customer's Infor admin identifies which employee records are active candidates versus internal HR records during scoping; we only migrate the active candidate population. Effective-dated job history from Infor is preserved as Crelate Activity records with date-ordered entries.

Infor HCM

Skills and Certifications (Talent Science)

maps to

Crelate

Contact Tags and Custom Fields

lossy
Fully supported

Infor Talent Science skills, certifications, and credential data attach to employee records as structured taxonomies. Crelate uses a tag-based keyword model for skills searchability rather than a hierarchical taxonomy. We extract skill names from Infor's structured fields, normalize them to plain-text keywords, and load them as Crelate tags on the Contact record. Certifications with expiry dates are mapped to Crelate custom date fields if the customer's Crelate admin configures them, or retained as tags with an expiry-note suffix. Taxonomy hierarchy is flattened during extraction since Crelate does not support nested skill taxonomies.

Infor HCM

Job Requisitions

maps to

Crelate

Job

1:1
Fully supported

Infor HCM job requisition records from the Talent Management module map to Crelate Job records. Infor stores requisition status, department, headcount, and job description; we map these to Crelate's Job Title, Job Description, Status, and Department fields. Infor's requisition-to-candidate association (which candidates were sourced for which requisition) migrates as Crelate Job-Contact links. If Infor uses a separate approval workflow for requisitions, that workflow is documented for manual rebuild in Crelate since automations do not migrate.

Infor HCM

Organization / Department Hierarchy

maps to

Crelate

Division and Team

lossy
Fully supported

Infor HCM org structures stored as hierarchical trees with cost center and location associations are mapped to Crelate Division and Team objects. The Infor parent-child org hierarchy is traversed during extraction, and department names are created as Crelate Divisions. Recruiters are assigned to Teams based on the Infor department-to-recruiter association. Position management headcount slots do not have a Crelate equivalent and are documented separately for the customer's workforce planning team.

Infor HCM

Compensation History

maps to

Crelate

Not Migrated (No Equivalent)

1:1
Mapping required

Infor HCM pay history records include salary, bonus, and equity entries with effective dates. Crelate does not have a compensation or payroll object. We do not migrate compensation history to Crelate. If the customer needs to retain this data, we recommend a separate HRMS migration to a platform with compensation management (Workday, SAP SuccessFactors, Dayforce) or a manual archive export of the compensation history table from Infor as a CSV kept in the customer's records system.

Infor HCM

Benefits Enrollments

maps to

Crelate

Not Migrated (No Equivalent)

1:1
Mapping required

Infor HCM benefit plans, enrollment elections, and coverage tiers live in the benefits administration module. Crelate is an ATS and recruiting CRM with no benefits management capability. Benefits enrollments do not migrate. We document the enrollment data volume during scoping so the customer can decide whether to retain it in an HR archive or a separate benefits administration platform.

Infor HCM

Performance Reviews / Goals

maps to

Crelate

Not Migrated (No Equivalent)

1:1
Mapping required

Infor HCM performance documents, goal alignments, and review ratings from the Talent Management module do not have a Crelate equivalent. Crelate's ATS data model supports candidate notes and activity history but not structured performance review templates or competency ratings. Completed review cycles are documented as a flat record set in the migration inventory if the customer requires an audit trail, but they are not loaded into Crelate.

Infor HCM

Time and Attendance

maps to

Crelate

Not Migrated (No Equivalent)

1:1
Mapping required

Infor Workforce Management time entries, absence balances, and accrual calculations are HRMS-layer data with no ATS analog. Crelate does not track time-off balances or attendance. We do not migrate time and attendance data. If the customer requires this functionality post-migration, a separate HRMS platform (Workday, UKG Pro, Dayforce) is recommended alongside Crelate for recruiting.

Infor HCM

Documents (IDM and SharePoint)

maps to

Crelate

Not Migrated (No Equivalent)

1:1
Fully supported

Employee documents stored in Infor Document Management (IDM) or SharePoint integration do not migrate. The IDM export tool exports only the current version of each document, not the full version history, and there is no Crelate document management module for HR records. Crelate supports candidate document attachments (resumes, cover letters) but not HRMS-type documents like contracts, policies, or performance records. We recommend a separate document archive strategy for any compliance-required records.

Infor HCM

Custom Fields / User-Defined Fields

maps to

Crelate

Custom Fields

lossy
Mapping required

Infor M3 and HCM support alphanumeric, numeric, date, and text user-defined fields attached to master data records. These are defined in configuration sessions and can number in the dozens per object. We extract the UDF schema during discovery, map each UDF to the corresponding Crelate field type (text, number, date, picklist), and pre-create the Crelate custom fields before candidate data loads. UDF values migrate as custom field values on the mapped Crelate record.

Infor HCM

Placement / Hiring History

maps to

Crelate

Placement

1:1
Fully supported

Infor HCM records of hires, internal mobility events, and talent placements map to Crelate Placement records if the customer's Infor instance tracks placement outcomes. The Infor hire date, job title at hire, and department assignment become the Crelate Placement start date, job title, and division. Status (active, terminated, promoted) migrates to Crelate Placement status. Historical placements from prior years are loaded as closed Placement records.

Infor HCM

Candidate Engagements / Talent Interactions

maps to

Crelate

Activities (Calls, Emails, Meetings, Tasks)

1:1
Fully supported

Infor Talent Management interaction history—recruiter notes, interview outcomes, sourcing activity, and engagement timestamps—maps to Crelate Activity records on the Contact. Each Infor interaction timestamp becomes a Crelate Activity date; interaction type maps to Crelate Activity type (call, email, meeting, task). Notes and outcome comments migrate as Crelate Activity notes. Activity ordering is preserved by date during load. Bulk API or CSV import is used depending on record volume; chunking is applied for histories exceeding 50,000 activity records.

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

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • Infor's file-based extraction requires manual coordination

    Infor HCM does not expose a well-documented public REST or GraphQL API for bulk record extraction. Data export relies on Infor's IDM tools, CSV and Excel exports from within the application UI, or direct database access in on-premise LN deployments. We coordinate with the customer's Infor admin to schedule targeted file exports, chunking large candidate populations into separate export runs to avoid timeout. On-premise LN customers require a read-only database connection coordinated with the customer's IT team. This extraction constraint adds discovery time and requires customer-side Infor expertise that is outside the migration fee unless separately scoped.

  • Skill taxonomy flattening loses Infor hierarchy depth

    Infor Talent Science stores skills, certifications, and credentials in a hierarchical taxonomy with competency levels and expiry tracking. Crelate's tag model is flat: skills are keyword tags on the candidate record with no taxonomy hierarchy and no native expiry field. We flatten Infor's taxonomy during extraction by taking the leaf-node skill name and discarding the parent category path. Competency ratings from Infor (proficiency levels, assessment scores) require a Crelate custom field to be configured before migration; without pre-configuration, this data is lost. We flag this during scoping and ask the customer's Crelate admin to create the custom field before data load.

  • Effective-dated history loads require strict date sequencing

    Infor HCM stores job title changes, compensation adjustments, manager reassignments, and talent profile updates as effective-dated rows rather than overwriting prior records. A single employee can have dozens of historical rows in Infor. When migrating to Crelate as candidate activity records, we must load records in ascending effective-date order or the candidate's timeline will show incorrect sequencing. We extract a full history file before any transformation, sort by effective date, and load in sequence. Crelate's activity timeline is appended in date order; it does not support retroactive reordering after load.

  • IDM document export excludes version history

    Infor Document Management's export tool exports only the current version of each document, not the full version history. For candidate records, this means the current resume version migrates but prior revisions do not. For HRMS-type documents (contracts, policies, performance records), there is no Crelate equivalent to host them regardless. We flag this during scoping and recommend a supplemental document audit extraction if version history is a compliance requirement. For SharePoint-integrated Infor environments, a separate limit of 5,000 documents per export run also applies.

  • Infor workflows and approval chains do not migrate

    Infor HCM position management, headcount approval workflows, requisition approval chains, and hierarchical approval routing have no equivalent in Crelate's ATS data model. Crelate supports task automation and basic workflow rules but not multi-level approval chains or headcount budgeting workflows. We document every active Infor workflow and approval chain in the migration inventory with a description of what it does and its trigger conditions, so the customer's admin can manually configure equivalent Crelate tasks or routing if needed. This documentation step is included in standard scope but rebuilding is not.

Migration approach

Six steps for a successful Infor HCM to Crelate data migration

  1. Discovery and extraction planning

    We audit the customer's Infor HCM instance with the Infor admin to identify which modules are in scope: Talent Management candidate and talent profile records, job requisitions, placement histories, skill and certification data, and organizational hierarchy. We map the Infor data model to Crelate's object schema, identify user-defined fields requiring custom field creation in Crelate, and determine the extraction method (IDM file export, CSV from UI, or database-level extract for on-premise LN). We also identify which Infor data has no Crelate equivalent (compensation, benefits, time-off, performance reviews, documents) and document these as explicit exclusions. The discovery output is a written extraction plan and data inventory.

  2. Crelate custom field and taxonomy configuration

    Before any data loads, we create the custom fields in Crelate that correspond to Infor user-defined fields and any Infor data (such as skill competency ratings or certification expiry dates) that requires a structured field rather than a flat tag. We also create the Crelate Divisions and Teams that correspond to the Infor organizational hierarchy. The customer's Crelate admin grants us admin-level access to configure these during this step. If the admin prefers to handle configuration themselves, we deliver a field-mapping spreadsheet with the target field name and type for each Infor UDF.

  3. Extraction and transformation

    We extract data from Infor using the agreed method. File-based exports are pulled in chunks to avoid timeout (chunks of 2,000-5,000 records per export run for employee and talent profile populations). On-premise database extracts are run under a read-only connection. During transformation, we apply the skill taxonomy flattening (converting Infor hierarchical competencies to flat keyword tags), sort effective-dated history rows in ascending date order for activity sequencing, and split the candidate population (active job seekers in scope for Crelate versus internal HR records that remain in Infor or another HRMS). Each transformation step emits a row-count and null-value report for customer verification.

  4. Sandbox load and reconciliation

    We load a representative sample (typically 10-20% of record volume) into the customer's Crelate sandbox environment to validate field mapping, custom field population, division and team assignment, and activity timeline sequencing. The customer's recruiting operations lead spot-checks 25-50 candidate records against the Infor source for accuracy in name, contact, skill tags, and activity history. Any mapping corrections are applied to the transformation logic before the full production load. This step also validates that Crelate's search returns the migrated candidates correctly.

  5. Production migration in dependency order

    We run the production load in record-dependency order: Divisions and Teams (organizational context), then Contact records (candidates with biographical data and custom field values), then Tags (skill and certification keywords), then Job records (requisitions with status and description), then Placement records (historical hires), then Activity history (calls, emails, meetings, tasks in date order). Each phase emits a reconciliation report comparing record count and null-field count to the extraction manifest. We use Crelate's CSV import for standard fields and the Crelate API for bulk activity records if the volume exceeds 50,000.

  6. Cutover, validation, and workflow handoff

    We freeze Infor writes during cutover, run a final delta migration of any candidate records modified during the migration window, then enable Crelate as the active recruiting system. We deliver the workflow inventory document listing every Infor approval chain and automation with its trigger, conditions, and a recommended Crelate equivalent for the customer's admin to rebuild. We support a one-week hypercare window for reconciliation issues. We do not rebuild Infor workflows as Crelate automations inside the migration scope; that is a separate engagement.

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.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

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

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • 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 Crelate 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 Crelate data migrations

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

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Most migrations land between three and five weeks for under 5,000 candidate records with straightforward skill taxonomy and no complex effective-dated history. Migrations with large talent profile histories (over 50,000 activity records), multi-country Infor HCM deployments with multiple UDF configurations, or organizations that require Infor database-level extraction instead of file-based exports move to eight to twelve weeks because of extraction coordination, taxonomy normalization, and date-ordered activity sequencing.

Adjacent paths

Related migrations to explore

Ready when you are

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