ERP migration

Migrate from daftra to Infor CloudSuite Corporate

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

daftra logo

daftra

Source

Infor CloudSuite Corporate

Destination

Infor CloudSuite Corporate logo

Compatibility

82%

9 of 11

objects map 1:1 between daftra and Infor CloudSuite Corporate.

Complexity

BStandard

Timeline

6-10 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Daftra to Infor Cloudsuite is a structural migration from a MENA-focused SMB ERP to an enterprise-grade industry-specific cloud suite. Daftra's integrated CRM, HRM, and accounting modules consolidate into Infor's modular suite architecture where financials, supply chain, manufacturing, and HR live as separate products under the Cloudsuite umbrella. The primary technical challenge is that Daftra does not publish a public API; we coordinate with Daftra's technical team to extract data via UI exports and any available API endpoints before transforming and loading into Infor's migration database. We normalize Arabic character encoding to UTF-8, reconstruct Daftra's flat Chart of Accounts export into Infor's hierarchical COA structure, and sequence all imports so that master data (accounts, items, suppliers, employees) is committed before any transactional records. Workflows, custom automation rules, and Daftra's Cheque Cycle stage tracking do not migrate; we deliver a written inventory of these for your Infor admin to rebuild using Infor OS or the appropriate Cloudsuite module configuration 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

daftra logo

daftra

What's pushing teams away

  • Multi-module complexity leads to feature gaps within each individual module — customers who need deep accounting or deep HRM report Daftra's capabilities feel shallower than specialized alternatives.
  • Support responsiveness varies significantly; users report long resolution times for technical issues outside standard business hours.
  • Customization limits on reports and dashboards frustrate power users who need advanced financial reporting or KPI visualization.
  • Platform lacks transparent public API documentation, making it difficult for technical teams to build custom integrations or export data programmatically without vendor assistance.

Choosing

Infor CloudSuite Corporate logo

Infor CloudSuite Corporate

What's pulling them in

  • Infor CloudSuite is industry-specific out of the box — manufacturing, distribution, healthcare, and food & beverage editions ship with preconfigured workflows that reduce the need for extensive customization and accelerate time to value for operations-heavy organizations.
  • The platform's deep integration with Excel for financial reporting is frequently cited as a key productivity feature, allowing finance teams to pull data directly and make changes without leaving familiar tooling.
  • AWS-hosted multi-tenant deployment eliminates data center management for IT teams, and Infor OS provides a unified integration layer (ION) that connects the CloudSuite to third-party applications without point-to-point middleware.
  • Organizations with multi-site or multi-country operations choose Infor for its multicurrency, multilanguage, and local regulatory compliance capabilities across 175+ countries, which simplifies consolidation for global CFOs.
  • The two-tier ERP strategy positioning lets corporate headquarters run CloudSuite while subsidiaries run lighter instances, which appeals to complex organizational structures that want standardization without full replacement.

Object mapping

How daftra objects map to Infor CloudSuite Corporate

Each row shows how a daftra 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.

daftra

Clients

maps to

Infor CloudSuite Corporate

Customer / Supplier

1:many
Fully supported

Daftra Clients include both customers and suppliers under a single object. We split by Daftra client type flag: Customer-type clients map to Infor Customer records (custMstr), Supplier-type clients map to Infor Supplier records (suppMstr). Contact details, addresses, and follow-up history migrate as related Contact and Address records. Client membership points and insurance references preserve as supplementary properties noted for manual entry in Infor OS or the appropriate Cloudsuite module.

daftra

Products & Services

maps to

Infor CloudSuite Corporate

Item Master

1:1
Fully supported

Daftra Products and Services catalog maps to Infor Item Master (ItemMstr or its equivalent in the applicable Cloudsuite edition). SKU (hs_sku), pricing tiers, stock levels, and supplier links migrate as item attributes. Product type (good vs service) maps to Infor Item Type. Custom fields on Daftra Products are enumerated and mapped to Infor extended data structures or user-defined fields on the Item form.

daftra

Invoices

maps to

Infor CloudSuite Corporate

AR Invoice / AP Voucher

1:1
Mapping required

Daftra Invoices map to Infor Accounts Receivable invoices (customer invoices) or Accounts Payable vouchers (supplier invoices) depending on the Daftra invoice type flag. Line items, taxes, installment schedules, and sales commission assignments migrate as invoice lines and tax distributions. Custom fields on Daftra Invoices require per-field mapping to Infor extended fields or remark records. Invoice balance and payment status preserve for open invoice handling at cutover.

daftra

Expenses

maps to

Infor CloudSuite Corporate

Expense Records

1:1
Fully supported

Daftra Expense records map to Infor expense or purchasing modules depending on whether the expense is internal (HRM) or payable to a vendor (AP). Amount, category, date, and attachment references migrate. We link expenses against the Infor Chart of Accounts using the account mapping established during COA load. Recurring expense patterns flag as a boolean on the Infor record for manual configuration of recurring voucher setup.

daftra

Chart of Accounts

maps to

Infor CloudSuite Corporate

General Ledger Account Master

1:1
Fully supported

Daftra's Chart of Accounts exports as a flat table with parent-child relationships inferred from account codes. We reconstruct the hierarchical account tree during discovery, then load accounts to Infor in account code order to respect hierarchical posting sequence. Account type (asset, liability, revenue, expense) maps to Infor account category. Sub-account parent references populate using Infor's segment structure or hierarchical account linkage depending on the Cloudsuite edition's COA model.

daftra

Cost Centers

maps to

Infor CloudSuite Corporate

Department / Cost Center Dimension

lossy
Mapping required

Daftra Cost Centers map to Infor's cost center or department dimension (specific object name varies by Cloudsuite edition). The linking between Cost Centers and individual transactions requires field-level extraction from Daftra's expense and invoice records and mapping to Infor's dimension assignment fields. If Infor uses a multi-dimensional COA, Cost Centers become a dimension segment; if Infor uses a flat COA with cost center as a field, we configure the field mapping accordingly during discovery.

daftra

Employees

maps to

Infor CloudSuite Corporate

Employee / Workforce Management

1:1
Mapping required

Daftra Employee records map to Infor Employee or Workforce Management records (specific object varies by Cloudsuite edition). Organizational structure placement, contracts, and attendance history migrate as employment records and related notes. Daftra payroll compensation time-series extracts as a separate payroll history file and loads to Infor HR as historical compensation records. Employee custom fields require per-field mapping to Infor HR extended fields.

daftra

Assets

maps to

Infor CloudSuite Corporate

Fixed Asset Master

1:1
Mapping required

Daftra Fixed Assets map to Infor Fixed Asset records. Asset master data (description, classification, acquisition date, cost) migrates as the asset header. Depreciation schedules extract from Daftra's Assets module separately and load as depreciation method and schedule records in Infor. Custom fields on Daftra Assets are enumerated per object and mapped to Infor fixed asset extended fields.

daftra

Work Orders

maps to

Infor CloudSuite Corporate

Production Order / Service Order

1:1
Fully supported

Daftra Work Orders map to Infor Production Orders (for manufacturing Cloudsuite editions) or Service Orders (for service management configurations). Work Order header data (client link, employee assignment, product link, status, stage history) migrates as order records with activity log preserved as notes or attachments. File attachments and linked documents migrate as ContentDocument records attached to the Infor order.

daftra

Bookings / Reservations

maps to

Infor CloudSuite Corporate

Reservation / Appointment

1:1
Fully supported

Daftra Reservation Files (PNR-style booking records) map to Infor reservation or appointment records where the applicable Cloudsuite edition supports service reservation management. Status tracking, appointment scheduling, and activity logs migrate as reservation header and line activity records. If the target Infor edition does not include native reservation management, we migrate reservation data as Work Order or Service Order records with a reservation flag for manual reorganization.

daftra

Cheque Cycle

maps to

Infor CloudSuite Corporate

Payment Records / Cheque Management

1:1
Mapping required

Daftra Cheque Cycle records track cheques through issue, deposit, and return stages tied to both the Chart of Accounts and specific invoice or payment records. We extract the full cycle history as a transaction supplement and link to the corresponding Infor AP or AR records created during invoice migration. Stage history (issued, deposited, returned, cleared) maps to Infor payment status fields or remark records. If the target Infor edition does not include a native cheque cycle tracker, we document the mapping for manual configuration in Infor Payments or AP module.

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.

daftra logo

daftra gotchas

High

API is not publicly documented

Medium

Custom fields are object-scoped and must be enumerated per object

Medium

Chart of Accounts export does not flatten sub-account hierarchy

Low

Arabic character encoding requires normalization

Infor CloudSuite Corporate logo

Infor CloudSuite Corporate gotchas

High

Infor OS tier-based usage limits gate API and BaaS capabilities

Medium

Custom Fields use inconsistent naming across Infor editions

Medium

SQL migration utility requires source database access

Medium

Multi-site and multi-currency data require separate period closure sequencing

Low

REST API payload and timeout limits restrict bulk migration throughput

Pair-specific challenges

  • Daftra has no public API; data extraction requires vendor coordination

    Daftra does not publish a public API reference or developer documentation. All documented data exports are UI-based (product export, report downloads). We cannot build a programmatic extraction pipeline without first coordinating with Daftra's technical team to obtain API access or agreeing on a structured export methodology. This adds two to four weeks to discovery and may require the customer to involve Daftra support directly. We plan for this delay in the migration timeline and use the time to enumerate custom field definitions per object from the Daftra UI before any extraction begins.

  • Infor Cloudsuite multi-tenant architecture does not allow direct database access

    Infor's multi-tenant CloudSuite deployment does not allow customers direct access to the production database. We load all migrated data into Infor's Migration Database (a dedicated staging database) and use the CloudSuite Migration Utility's Import Data Transfer to move data from the migration database to the production database. This requires the source system (Daftra) to expose a SQL Server database reachable from Infor's infrastructure, or structured data files that Infor Consulting Services or the customer's implementation partner can load into the migration database. Legacy extract file formats require a conversion step to Infor's expected table schema.

  • Chart of Accounts hierarchy must be reconstructed from Daftra's flat export

    Daftra's Chart of Accounts exports as a flat table where parent-child relationships are implied by account code structure rather than explicit foreign-key references. Sub-account parent references must be inferred from account code prefixes or extracted via a separate query. We build a recursive account tree during discovery to ensure hierarchical loading order in Infor. Loading accounts out of sequence causes posting errors in Infor because child accounts cannot post before their parent is established. This step adds one to two weeks of discovery time compared to systems with documented API exports.

  • Arabic character encoding and Hijri-Gregorian date handling requires normalization

    Daftra's Arabic-first interface stores text in locale-specific encoding and supports both Hijri and Gregorian calendar views depending on locale settings. We normalize all Arabic characters to UTF-8 before writing to Infor to prevent rendering issues in the English-language Infor interface. Date fields require explicit normalization: Hijri dates convert to Gregorian using a standard conversion library, and Daftra locale date formats (DD/MM/YYYY vs MM/DD/YYYY) standardize to ISO 8601 before Infor import. Skipping this step causes silent date misinterpretation in financial records and asset depreciation schedules.

  • Infor requires all transactions posted before migration cutover

    Infor's migration documentation specifies that all unpaid invoices, vouchers, journals, and payroll transactions must be posted in the source system before data can be migrated to Infor. Any transactions created in Daftra after the migration database snapshot is taken will not appear in Infor and must be entered manually or migrated via a delta load. We freeze Daftra write access during the cutover window and run a final delta export to capture any records modified after the main extraction. Customers with high transaction volumes during migration must plan a freeze period of at least 24-48 hours to ensure the delta load captures all cutover transactions.

Migration approach

Six steps for a successful daftra to Infor CloudSuite Corporate data migration

  1. Vendor coordination and data discovery

    We open a coordination channel with Daftra's technical team to obtain API access or agree on a structured export methodology given the absence of public API documentation. During this window, we enumerate all Daftra objects (Clients, Products, Invoices, Expenses, Chart of Accounts, Cost Centers, Employees, Assets, Work Orders, Bookings, Custom Fields, Cheque Cycle) from the UI and document custom field definitions per object. We extract a full schema snapshot and sample records for mapping. We also identify the target Infor Cloudsuite edition (Industrial, M3, LN, Automotive, Food & Beverage, or another vertical) based on the customer's industry and operational scope.

  2. Source data profiling and quality assessment

    We profile the extracted Daftra data for quality issues: duplicate client and supplier records, missing account references on invoices, incomplete employee profiles, Arabic character encoding issues, date format inconsistencies (Hijri vs Gregorian), and orphaned child records. We build a data quality report and remediate identified issues before mapping. This phase typically reveals 15-30 percent of records with address, contact, or date field issues that require cleansing before Infor import.

  3. Infor schema design and migration database setup

    We design the Infor destination schema in collaboration with the customer's Infor implementation partner or Infor Consulting Services. Master data objects (Chart of Accounts, Item Master, Customer, Supplier, Employee) are configured first. We use Infor's DataMap Schema-Properties spreadsheet and CloudSuite Database Schema Report to understand Infor's table structure, field types, and valid values. We set up Infor's external application and migration databases per Infor's documented process, connecting to the Daftra source SQL Server or accepting structured extract files. Cost Center and sub-account hierarchies are mapped to Infor's dimensional structure during this phase.

  4. Mapping, transformation rules, and import sequence definition

    We define transformation rules for each Daftra-to-Infor object mapping: account code prefix parsing for COA hierarchy reconstruction, client type split for Customer vs Supplier, invoice type flag routing to AR vs AP, Arabic text UTF-8 normalization, Hijri-to-Gregorian date conversion, and unit-of-measure standardization. We use Infor's Import Rule Definition form to specify general rule types and the Import Table Column Rule Definition form for specific field-level transformations. The import sequence is defined using Infor's Import Steps form, respecting dependencies: Chart of Accounts must load before any invoice or expense, Item Master before any line item, and Employees before any Work Order or HR record.

  5. Sandbox migration and reconciliation

    We run a preliminary data transfer into a non-production Infor environment using Infor's Preliminary Data Transfer process. The migration utility assesses data records, generates new transformation rules for identified issues, and produces a Data Assessment Report and transfer log. The customer's Infor team reviews the report, we fix mapping errors, and the cycle repeats until no errors remain. This phase validates the complete mapping logic against production-like data volume before any data touches the Infor production database.

  6. Production cutover, delta load, and verification

    We freeze Daftra write access during the cutover window. We run the final delta export capturing any records modified after the main extraction snapshot. We load the delta into the Infor migration database and run the final data transfer in dependency order: Chart of Accounts, Item Master, Customers and Suppliers, Employees, Assets, then transactional records (Invoices, Expenses, Work Orders, Bookings, Cheque Cycle). We run post-migration verification: record counts per object, spot-checks on 25-50 records per object against source, and verification of Arabic text rendering in Infor. We deliver the Workflow, Automation, and Cheque Cycle inventory document to the customer's Infor admin team for rebuild in Infor OS or the appropriate module configuration tool.

Platform deep dives

Context on both ends of the pair

daftra logo

daftra

Source

Strengths

  • Integrated CRM, HRM, Accounting, Inventory, and Operations under one tenant and one invoice.
  • Workflow builder with dynamic fields and cross-module linking for process automation.
  • Multi-currency and locale support oriented toward MENA markets and Arabic-language users.
  • Tiered enterprise plans include dedicated support, account setup assistance, and third-party escalation services.
  • Product and service catalog with POS integration, installment management, and sales commission tracking.

Weaknesses

  • API is not publicly documented, limiting programmatic data export and third-party integration without vendor coordination.
  • Review presence on major platforms (G2, Capterra) is thin, making independent evaluation difficult for prospective buyers.
  • Feature depth in individual modules (especially advanced accounting and HRM) lags behind purpose-built specialized alternatives.
  • Rate limits and API quota details are not published, creating uncertainty for migration planning.
Infor CloudSuite Corporate logo

Infor CloudSuite Corporate

Destination

Strengths

  • Industry-specific preconfiguration across manufacturing, distribution, healthcare, and food & beverage reduces post-implementation customization effort.
  • Deep Excel integration for financial reporting allows finance teams to export, manipulate, and push data back without leaving a familiar environment.
  • Multi-tenant AWS deployment with Infor OS provides a unified integration layer that simplifies connecting to third-party applications and legacy systems.
  • Strong multicurrency, multilanguage, and regulatory localization capabilities support organizations operating across 175+ countries from a single platform.
  • Modular architecture allows organizations to deploy core financials, supply chain, or manufacturing modules independently and expand over time.

Weaknesses

  • Opaque pricing model with no public per-user rates and deployments commonly ranging from $500K to $5M creates significant budget uncertainty for prospective buyers.
  • Implementation complexity and timeline (commonly 2+ years for large deployments) leads to extended periods of reduced productivity and elevated project risk.
  • Steep learning curve with hidden options and a lack of public setup guidance makes self-service onboarding difficult compared to competitors with richer documentation communities.
  • Manufacturing module functionality is perceived by some users as outdated relative to modern ERP platforms, with reported bug issues that require workarounds.
  • Tight coupling between modules and environment-specific configurations makes migration to non-Infor systems labor-intensive, increasing switching costs.

Complexity grading

How hard is this migration?

Standard ERP migration. 1 of 8 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 daftra and Infor CloudSuite Corporate.

  • Object compatibility

    B

    1 of 8 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

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

  • API constraints

    B

    daftra: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your daftra to Infor CloudSuite Corporate 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 daftra to Infor CloudSuite Corporate data migrations

Answers to the questions buyers ask most during daftra to Infor CloudSuite Corporate migration scoping. Not seeing yours? Book a call.

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Most migrations land between six and ten weeks for accounts with up to 20,000 clients, 10,000 invoices, and a single-module scope (accounting and CRM only). Migrations with multiple Daftra modules in scope (HRM, Assets, Work Orders, Cheque Cycle), large historical transaction volumes (over 100,000 records), multi-entity Infor destinations, or complex Chart of Accounts hierarchies move to twelve to twenty weeks because of the vendor coordination required for Daftra data extraction, the multi-step Infor migration database setup, and the dependency-ordered import sequencing. The primary timeline variable is how quickly Daftra's technical team responds to API access or export coordination requests.

Adjacent paths

Related migrations to explore

Ready when you are

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