ERP migration
Field-level mapping, validation, and rollback between Atlas ERP and Infor CloudSuite Corporate. We move data and schema; workflows are rebuilt natively in Infor CloudSuite Corporate.
Atlas ERP
Source
Infor CloudSuite Corporate
Destination
Compatibility
11 of 12
objects map 1:1 between Atlas ERP and Infor CloudSuite Corporate.
Complexity
BStandard
Timeline
6-10 weeks
Overview
Atlas ERP stores every operational record in a single shared MS SQL Server database with no public API, meaning all migration extraction requires direct SQL connectivity with db_datareader scope. The platform posts every Sales, Purchasing, Warehouse, Production, and Payroll transaction automatically to the Finance module, so we sequence operational master data and transactions first, suppress the auto-posting flag during the operational load, then import open-period journal entries after go-live to avoid duplicate ledger rows. We map the self-referential holding-company table to Infor CloudSuite's multi-company hierarchy, resolve BOM and routing table joins against the item master, and flag every discovered shadow-column custom field before export. Workflows, BPM models, custom report definitions, and integrations built on Atlas custom procedures do not migrate; we deliver a written inventory of these artifacts for the customer's implementation team to rebuild in Infor CloudSuite. Infor CloudSuite's API Gateway enforces tiered rate limits ranging from 250,000 to 6,250,000 executions per day depending on subscription tier, and we handle backoff and chunking accordingly during the load phase.
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.
Source platform
Atlas ERP platform overview
Scorecard, SWOT, gotchas, and pricing for Atlas ERP.
Destination platform
Infor CloudSuite Corporate platform overview
Scorecard, SWOT, gotchas, and pricing for Infor CloudSuite Corporate.
Data migration guide
The complete Infor CloudSuite migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Infor CloudSuite migration checklist
Pre- and post-cutover tasks for moving onto Infor CloudSuite Corporate.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Atlas ERP object lands in Infor CloudSuite Corporate, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Atlas ERP
Chart of Accounts
Infor CloudSuite Corporate
Chart of Accounts
1:1Atlas stores the COA as a hierarchical MS SQL table with account codes, names, types, and optional cost-center linkage. We extract the full account tree via direct SQL read and remap account codes to Infor CloudSuite's account structure during load. Multi-segment account codes (if used in Atlas) are flattened or segmented per Infor's chart-of-accounts configuration. The holding-company inter-company accounts are flagged for mapping to Infor's inter-company transaction configuration.
Atlas ERP
Journal Entries
Infor CloudSuite Corporate
General Ledger Journal
1:1Atlas auto-posts all module transactions (Sales, Purchasing, Warehouses, Production, Payroll) to the Finance module. We extract journal_headers and journal_lines together and suppress auto-posting on the destination during the operational load phase, then import journal entries only for the open period after go-live to prevent duplicate ledger rows. Closed-period journals are exported as reference records only unless the customer requires full historical carry-forward.
Atlas ERP
Warehouses
Infor CloudSuite Corporate
Warehouse Locations
1:1Atlas Warehouses are master-data records with warehouse_id, name, address, and optional cost-center linkage. We export them as-is and create corresponding inventory locations in Infor CloudSuite. Multi-warehouse configurations (if Atlas uses site-based costing) map to Infor's site-level inventory organization with inter-warehouse transfer rules configured post-migration.
Atlas ERP
Items
Infor CloudSuite Corporate
Items / Product Master
1:1Atlas Items include product masters with BOM linkages for manufactured goods. The bom_lines table is separate from the item master and must be joined during extraction to preserve the BOM hierarchy. We export the item master, all bom_lines referencing each item_code, and routing_steps (production order routing definitions) as a joined package, mapping to Infor CloudSuite's Item Master and Bill of Material structure with quantity-per and operation-step sequencing preserved.
Atlas ERP
Bill of Materials
Infor CloudSuite Corporate
Bill of Material
1:1BOMs for manufactured items in Atlas live in a companion bom_lines table joined by item_code, not in the item master itself. A naive export of just the item master will miss all production capability. We extract the bom_lines and routing_steps tables alongside the item export, preserve the bill of material header and line structure with quantity-per and scrap-percentage, and map them to Infor CloudSuite's BOM and routing tables with multi-level BOM explosion preserved.
Atlas ERP
Production Orders
Infor CloudSuite Corporate
Production Orders
1:1Atlas Production Orders link to the Production Planning module and carry a status lifecycle (planned, released, in-progress, closed). We preserve the order header, all routing steps referencing the production order, consumed and issued quantities, and co-product/by-product output lines. In Infor CloudSuite Industrial, production orders are created against the Item Master BOM and routing; we resolve the destination Item Number and Work Order Number during migration and flag any orphaned production orders that reference items not yet migrated.
Atlas ERP
Sales Orders
Infor CloudSuite Corporate
Sales Orders
1:1Atlas Sales Orders are stored with a header and line table covering item_code, quantity, price, discount, and Responsible person. We extract the full order header, line detail, and associated customer record, preserving open/closed status, order dates, and pricing. In Infor CloudSuite, Sales Orders are created against the Customer and Item Master; we resolve customer_id and item_code references at migration time and flag any orders referencing unmigrated customers or items for manual review.
Atlas ERP
Purchase Contracts
Infor CloudSuite Corporate
Purchase Orders / Contracts
1:1Atlas Purchase Contracts and planned deliveries are stored in the Purchasing module with contract headers, line items, supplier linkage, and delivery schedule dates. We export the full contract structure including pending delivery lines and map to Infor CloudSuite's Purchase Order or Blanket Agreement based on the contract type. Supplier records are resolved against the migrated vendor master; any unmatched suppliers go to a reconciliation queue.
Atlas ERP
Customers / CRM
Infor CloudSuite Corporate
Customers / Account Contacts
1:1Atlas CRM records include company name, contact persons, addresses, Responsible person, and lifecycle stage. We export the full contact hierarchy and map to Infor CloudSuite's Customer and Contact structure. The Atlas holding-company relationship (parent_company_id) is preserved as an Account hierarchy in Infor CloudSuite. Any custom CRM fields discovered via schema diff are mapped to Infor custom fields on the Customer or Contact object.
Atlas ERP
Employees
Infor CloudSuite Corporate
Employees
1:1Atlas Employee records include name, department, position, employment status, and salary grade. We map these to Infor CloudSuite's HRM schema, preserving the department hierarchy and active/inactive employment status. Employee records that are tied to Infor-specific cost-center or payroll configuration are flagged for the customer's HR administrator to complete after migration because Infor payroll setup requires country-specific tax and benefit parameters not transferable from Atlas.
Atlas ERP
Payroll Runs
Infor CloudSuite Corporate
Payroll History
1:1Atlas Payroll history is stored in a separate payroll module with period-based gross/net breakdown, deductions, and employer contributions. We export the run summary and line-by-line detail as reference data. Payroll configuration (deduction codes, tax codes, benefit plans) does not migrate because Infor CloudSuite payroll requires country-specific tax and benefit setup through Infor's payroll module. Historical payroll data is migrated as a financial reporting reference rather than as active payroll records.
Atlas ERP
Custom Properties
Infor CloudSuite Corporate
Custom Fields
lossyUser-defined fields added through Atlas's system administration module exist in companion tables or as extra columns not exposed in the standard UI. We detect these by running a pre-migration schema diff against the base Atlas table definitions, then include discovered extra columns in the export scope. Each custom field is evaluated for its Infor CloudSuite equivalent; simple text, number, and date fields map to Infor custom fields. Complex custom fields referencing lookups or computed values require manual mapping during the schema design phase.
| Atlas ERP | Infor CloudSuite Corporate | Compatibility | |
|---|---|---|---|
| Chart of Accounts | Chart of Accounts1:1 | Fully supported | |
| Journal Entries | General Ledger Journal1:1 | Mapping required | |
| Warehouses | Warehouse Locations1:1 | Fully supported | |
| Items | Items / Product Master1:1 | Mapping required | |
| Bill of Materials | Bill of Material1:1 | Fully supported | |
| Production Orders | Production Orders1:1 | Mapping required | |
| Sales Orders | Sales Orders1:1 | Fully supported | |
| Purchase Contracts | Purchase Orders / Contracts1:1 | Fully supported | |
| Customers / CRM | Customers / Account Contacts1:1 | Fully supported | |
| Employees | Employees1:1 | Fully supported | |
| Payroll Runs | Payroll History1:1 | Mapping required | |
| Custom Properties | Custom Fieldslossy | 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.
Atlas ERP gotchas
No public API — migration requires direct SQL read
Automatic inter-module posting creates duplicate ledger entries
Holding structure is stored as a self-referential company table
BOM and routing data live in separate tables from item masters
Custom fields not surfaced in the standard export UI
Infor CloudSuite Corporate gotchas
Infor OS tier-based usage limits gate API and BaaS capabilities
Custom Fields use inconsistent naming across Infor editions
SQL migration utility requires source database access
Multi-site and multi-currency data require separate period closure sequencing
REST API payload and timeout limits restrict bulk migration throughput
Pair-specific challenges
Migration approach
Database access and schema diff
We establish a scoped MS SQL Server connection (db_datareader permission on the Atlas database) and run a pre-migration schema diff against the base Atlas table definitions to identify any shadow columns, custom fields, and companion tables not exposed in the standard UI. This diff output defines the exact extraction scope before any data moves. We also capture the holding-company tree, BOM and routing companion tables, and inter-module foreign-key relationships to build the dependency graph that drives the sequencing plan.
Migration sequencing and staging database setup
We design the migration sequence based on the Atlas inter-module dependency graph. Master data (Chart of Accounts, Warehouses, Items, Customers, Employees, Suppliers) is extracted first and loaded into Infor CloudSuite before any transaction data. Production Orders, Sales Orders, Purchase Contracts, and Payroll runs follow in dependency order. Journal entries are staged separately for the post-go-live open-period import. We use Infor CloudSuite's Migration Utility or API Gateway to stage data in a migration database, validate referential integrity, and resolve any unmapped codes before copying into the production database. Any Atlas custom fields discovered in the schema diff are provisioned as Infor custom fields before the first data load begins.
BOM and production order pre-processing
We pre-process the Atlas BOM and routing tables before migration. Multi-level BOM explosions are flattened to their component levels, and routing step sequences are ordered by operation number. Each Atlas production order is evaluated for status (planned, released, in-progress, closed) and linked to its resolved destination Item Number and Work Order Number. Any production orders referencing unmigrated items or routing operations with missing workstations are flagged for the customer's production planning team to resolve before migration. BOM integrity is validated by comparing total component quantities against production order consumed quantities.
Sandbox migration and reconciliation
We run a full migration into an Infor CloudSuite sandbox environment using production-like data volume. The customer's implementation team and finance team reconcile record counts (accounts, items, orders, employees, journal lines), spot-check 30-50 random records against the Atlas source for field-level accuracy, and validate that BOM explosions, routing steps, and multi-company relationships are correctly represented. Any mapping corrections are documented and applied to the production migration script. Auto-posting suppression is validated by checking that no duplicate ledger entries appear in the sandbox Finance module.
Production migration in dependency order
We execute the production migration in the validated sequence: Chart of Accounts first, then Warehouses and Site configurations, then Items with BOM and routing tables, then Customers and Employees, then Suppliers, then open Sales Orders, Purchase Contracts, and Production Orders, then Payroll history as reference data, and finally open-period journal entries after go-live. Each phase emits a row-count reconciliation report. Infor API Gateway calls are chunked and throttled to the destination tenant's subscription tier. Any records rejected by validation rules (required fields, picklist whitelists, conditional logic) are logged to an exception queue and resolved in a follow-up pass before the next phase begins.
Cutover, delta sync, and workflow inventory handoff
We freeze Atlas write access during the cutover window, run a final delta migration of any records modified during the migration execution, and enable Infor CloudSuite as the system of record. We deliver a written inventory of all Atlas BPM workflows, custom report definitions, custom procedure scripts, and inter-module integration points requiring rebuild in Infor CloudSuite. The customer's implementation team or Infor services partner rebuilds these artifacts post-migration. We support a one-week post-go-live window to resolve any data reconciliation issues raised by the business. We do not rebuild Atlas workflows, automations, or custom reports as Infor configurations within the migration scope.
Platform deep dives
Atlas ERP
Source
Strengths
Weaknesses
Infor CloudSuite Corporate
Destination
Strengths
Weaknesses
Complexity grading
Standard ERP migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Atlas ERP and Infor CloudSuite Corporate.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Atlas ERP: Not publicly documented.
Data volume sensitivity
Atlas ERP 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
Pick a category, then your source and destination platforms.
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FAQ
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