CRM migration

Migrate from ELMA365 to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between ELMA365 and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

ELMA365 logo

ELMA365

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

67%

8 of 12

objects map 1:1 between ELMA365 and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

ELMA365 is a process automation platform first and a data repository second, which means migrating to Salesforce requires translating a BPM-centric data model into a CRM-centric one. ELMA365 stores data around Projects, Tasks, Process Instances, and custom Applications built in its low-code designer; Salesforce organizes around Accounts, Contacts, Leads, and Opportunities. We reverse-engineer ELMA365's custom Application schemas from its configuration export, map each ELMA365 Project and Task hierarchy to the appropriate Salesforce object, and resolve the multi-tenant HUB isolation boundaries before any data moves. RPA robots, BPM workflow definitions, external SAP integrations, and platform-native reports do not migrate; we deliver written inventories of these artifacts for the customer's admin to rebuild in Salesforce Flow or retain in ELMA365 as a standalone automation layer.

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

ELMA365 logo

ELMA365

What's pushing teams away

  • Pricing is perceived as high relative to scope — organizations using ELMA365 for narrow use cases report that the total cost exceeds the value delivered.
  • Documentation and community resources are limited in English, making self-service troubleshooting difficult for international teams.
  • The low-code platform requires configuration effort that some teams underestimate, leading to longer implementation timelines than anticipated.
  • Switching costs are significant when migrating custom Applications and BPM workflows to alternative platforms due to proprietary configuration formats.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How ELMA365 objects map to Salesforce Sales Cloud

Each row shows how a ELMA365 object lands in Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

ELMA365

Contact/User Directory

maps to

Salesforce Sales Cloud

Contact or User (split by role type)

1:many
Fully supported

ELMA365 User records serve both employee directory and CRM contact functions. Users with ELMA365 logins who are also customers or external stakeholders map to Salesforce Contact; internal-only employees map to Salesforce User. We extract the full user directory, classify by role type and email domain, and apply the split during migration. Email addresses serve as the dedupe key for Contacts and the match field for Users.

ELMA365

Company/Organization

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

ELMA365 Company records map directly to Salesforce Account. The company name becomes Account Name, and any registered business address migrates to BillingAddress. Account is created before any Contact import so that the AccountId Lookup is satisfied at the moment of Contact insert. If the ELMA365 instance uses HUB multi-tenancy with subsidiary-level companies, we map each subsidiary's companies to separate Account hierarchies or top-level Accounts depending on the customer's Salesforce sharing model.

ELMA365

Project

maps to

Salesforce Sales Cloud

Account or Custom Object (Project__c)

lossy
Fully supported

ELMA365 Projects require a scope decision during discovery. If Projects represent customer accounts or external organizations, they map to Salesforce Account. If Projects represent internal work packages, initiative tracks, or deliverables tied to Accounts but not equivalent to Accounts, we map them to a Salesforce Custom Object (Project__c) with a Lookup to the relevant Account. The customer's project governance model drives this decision during scoping.

ELMA365

Task

maps to

Salesforce Sales Cloud

Task or Custom Object (Task__c)

lossy
Fully supported

Standard ELMA365 Tasks with title, description, due date, assignee, and status map to Salesforce Task. Tasks linked to Projects map via WhatId to the corresponding Account or Project__c Custom Object. Tasks that represent project deliverables with custom fields beyond the standard Task schema are evaluated for migration to Task__c or a dedicated Custom Object with a Lookup to Account and Contact.

ELMA365

Process Instance

maps to

Salesforce Sales Cloud

Custom Object (Process_Instance__c) or Case

1:1
Fully supported

Running and historical Process Instances carry state data, step status, and instance-level fields. We extract instance fields and current step name into a Process_Instance__c Custom Object with a Lookup to the originating Account or Contact. If the customer uses ELMA365 for service ticket management, Process Instances may map to Salesforce Case instead, with ELMA365 process steps mapping to Case Status values or custom status picklists.

ELMA365

Custom Application

maps to

Salesforce Sales Cloud

Custom Object

1:1
Fully supported

Applications built in ELMA365's low-code designer store data in custom-defined tables with no standardized export format. We reverse-engineer the schema by extracting ELMA365's configuration export (obtained from the customer during discovery), parsing the field definitions, data types, and lookup relationships, and creating equivalent Salesforce Custom Objects with __c API names. We pre-create the destination schema before any data import. The number of custom Applications and their field complexity are the primary drivers of scoping complexity.

ELMA365

Custom Application Field

maps to

Salesforce Sales Cloud

Custom Field

1:1
Fully supported

Each field in an ELMA365 Custom Application maps to a Salesforce Custom Field on the corresponding Custom Object. Field types are mapped: ELMA365 text to Text(255) or Long Text Area, ELMA365 number to Number, ELMA365 date to Date, ELMA365 lookup to Lookup relationship, ELMA365 file attachment to ContentDocumentLink. Required fields in ELMA365 become Required fields in Salesforce only if historical data satisfies them; otherwise they are created as Optional during migration.

ELMA365

Document

maps to

Salesforce Sales Cloud

ContentDocument + ContentVersion

1:1
Fully supported

Documents attached to Tasks, Projects, or Process Instances in ELMA365 are downloaded from ELMA365's file store and re-uploaded to Salesforce's ContentWorkspace or as Attachments on the parent record. Folder hierarchy is preserved where ELMA365 exposes it via API or XML export. Files are uploaded before parent record migration to ensure ContentDocumentLinks resolve correctly.

ELMA365

User Role and Department

maps to

Salesforce Sales Cloud

User Role + Profile

lossy
Fully supported

ELMA365 roles and department assignments are mapped to Salesforce Profiles and User Roles during scoping. Role semantics differ: ELMA365 roles govern BPM process assignments and access, while Salesforce roles govern record visibility in hierarchies. We document the mapping and recommend that the customer configure Salesforce sharing rules and hierarchy roles post-migration to approximate the original ELMA365 access model.

ELMA365

HR Document (КЭДО)

maps to

Salesforce Sales Cloud

ContentDocument + custom fields on Contact

1:1
Fully supported

Electronic HR document management (Кадровый Электронный Документооборот) in ELMA365 stores employee documents and e-signatures. We extract document files and metadata (employee name, document type, date) and attach them to the corresponding Salesforce Contact record. E-signature validity cannot be transferred; documents are migrated as files and the customer's legal team must re-establish e-signature compliance in Salesforce or a connected e-signature tool.

ELMA365

External Integration Configuration

maps to

Salesforce Sales Cloud

Configuration inventory document

1:1
Fully supported

ELMA365 connectors to SAP, Tantor DBMS, Telegram, and WhatsApp are configuration-level settings with no migration path to Salesforce. We document each active connection endpoint, credential references (documented without exposing secrets), and data flow direction. The customer rebuilds these integrations in Salesforce using AppExchange connectors, MuleSoft Composer, or custom Apex integrations post-migration.

ELMA365

Report and Dashboard

maps to

Salesforce Sales Cloud

Configuration inventory document

1:1
Fully supported

ELMA365 reports and dashboards use the platform's native reporting engine and cannot be exported and re-imported into Salesforce Reports or Einstein Analytics. We deliver a written inventory of every ELMA365 report with its filters, groupings, and data sources, plus the underlying migrated data so that the customer's Salesforce admin or a reporting consultant can rebuild equivalent reports post-migration.

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.

ELMA365 logo

ELMA365 gotchas

High

No public API documentation for programmatic extraction

High

Multi-tenant HUB requires tenant isolation mapping

Medium

RPA and workflow automation do not migrate

Medium

MS Project XML export loses custom fields and metadata

Low

Russian-language content requires locale handling

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • BPM-to-CRM schema translation is required before any data moves

    ELMA365's core data model is built around BPM constructs — Projects, Tasks, Workflows, and Process Instances — not CRM objects. There is no one-to-one mapping between ELMA365 and Salesforce; Projects might represent Accounts or Custom Objects depending on business context, and Process Instances have no native Salesforce equivalent. We resolve this schema translation during discovery, document the decision tree, and build the Salesforce destination schema before any data extraction begins. Migrations that skip this step end up with flat Task lists disconnected from the business context that ELMA365's Project hierarchy provided.

  • Multi-tenant HUB requires per-tenant extraction isolation

    Organizations using ELMA365 HUB for multi-subsidiary deployments store data in logically isolated workspaces. We map each tenant's data separately during extraction and ensure cross-tenant references (e.g., shared contacts or process templates) are handled correctly by mapping to the correct tenant's Salesforce Account hierarchy. Failure to isolate tenants risks data leakage across subsidiaries or incorrect record ownership in the destination org. We require the customer to confirm the HUB workspace structure before extraction begins.

  • RPA robots and BPM workflow definitions do not migrate

    ELMA365's RPA robots and BPM workflow definitions use proprietary automation logic that cannot be exported and re-imported into Salesforce or any other platform. We flag every automation artifact during discovery and deliver three options: rebuild in Salesforce Flow, retain ELMA365 as an automation-only layer alongside Salesforce, or accept manual process re-entry. This is a scope conversation, not a technical limitation we can work around. The inventory document lists every active workflow with its trigger conditions, steps, and recommended Flow equivalent.

  • ELMA365 API access requires direct administrator coordination

    ELMA365 does not publish API documentation in English, and API access may be gated by subscription tier or require a support ticket to enable. During scoping, we request API credentials from the customer's ELMA365 administrator and test endpoint availability before committing to a timeline. If the API is restricted, we fall back to XML export (MS Project-compatible format for Projects) and direct database extraction where the customer can provide access. API-related lead time adds one to two weeks if credentials are not pre-arranged.

  • Cyrillic data and non-standard locale settings require validation

    ELMA365 is widely used in Russian-speaking markets, and many customer instances contain Cyrillic field values, file names, and document metadata. We preserve UTF-8 encoding throughout the migration pipeline and validate that the destination Salesforce org's locale settings handle Cyrillic characters correctly for field values, file names, and ContentDocument metadata. Salesforce supports Unicode across all field types, but the customer's locale configuration (Language, Time Zone, Currency) should be confirmed during discovery to avoid display formatting issues.

Migration approach

Six steps for a successful ELMA365 to Salesforce Sales Cloud data migration

  1. Discovery and HUB workspace mapping

    We audit the source ELMA365 instance across all active tenants (for HUB deployments), custom Applications, Project hierarchies, Task volumes, Process Instance counts, document attachment volumes, and active workflow/RPA artifacts. We request API credentials from the ELMA365 administrator and test endpoint availability. We also extract any MS Project-compatible XML exports for Projects and validate the XML structure against the expected schema. The discovery output is a written migration scope document that defines the BPM-to-CRM schema translation decisions, a per-tenant extraction plan, and a list of automation artifacts requiring rebuild.

  2. Schema design and Salesforce destination build

    We design the destination schema in Salesforce based on the discovery decisions: we provision Custom Objects for ELMA365 custom Applications, create custom fields on Account and Contact for ELMA365 Project and Task metadata, configure Record Types if multiple Project or Process Instance types require different page layouts, and build the Profile and User Role structure to approximate ELMA365's access model. Schema is deployed via the Salesforce Metadata API or change set into a Sandbox org first for validation. We do not configure Salesforce Flow during this phase — that is a separate rebuild scope.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer's administrator reconciles record counts (Accounts in, Contacts in, Tasks in, Custom Object records in), spot-checks 25-50 random records against the ELMA365 source, and validates that lookup relationships resolved correctly. Any mapping corrections are documented and applied to the production migration script before the next phase begins.

  4. Tenant isolation and user reconciliation

    For multi-tenant HUB deployments, we extract each tenant's data in isolation and map subsidiary-level ELMA365 Workspaces to separate Salesforce Accounts or Account hierarchies. We extract every distinct ELMA365 user referenced on Projects, Tasks, and Process Instances, match by email against the Salesforce destination org's User table, and place unmatched users in a reconciliation queue for the customer's admin to provision before production migration resumes.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Salesforce Users (validated), Accounts (from ELMA365 Companies), Contacts (with AccountId resolved), Custom Objects (from ELMA365 custom Applications with pre-created schema), Project data (to Account or Project__c Custom Object depending on scope decision), Tasks (with WhatId resolved to the correct parent), Process Instances (to Process_Instance__c Custom Object), Documents (via ContentVersion and ContentDocumentLink), HR Documents (КЭДО files attached to Contacts), and Activity history (via Bulk API 2.0 if available). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation rebuild handoff

    We freeze ELMA365 writes during the final cutover window, run a delta migration of any records modified during the migration, then enable Salesforce as the system of record. We deliver the workflow, RPA, integration, and report inventory documents to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild ELMA365 workflows as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

ELMA365 logo

ELMA365

Source

Strengths

  • Built-in RPA capabilities automate routine data entry tasks without custom code.
  • Multi-tenant HUB architecture supports large organizations with centralized management and isolated subsidiary workspaces.
  • Project plan export to MS Project XML provides compatibility with widely-used project management tools.
  • On-premise deployment option appeals to government and regulated industries with strict data residency requirements.
  • Low-code BPM designer enables citizen developers to build process applications without deep programming expertise.

Weaknesses

  • English-language documentation and community support are limited compared to global competitors.
  • Pricing transparency is low — no public tier structure, requiring direct vendor contact to obtain quotes.
  • API documentation is not publicly prominent, making programmatic data extraction harder to validate before a migration engagement.
  • Custom Application schemas are defined within ELMA365's designer and lack a standardized export format, requiring custom schema extraction.
  • RPA robots and workflow automation logic are not portable to non-ELMA365 platforms.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM 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 ELMA365 and Salesforce Sales Cloud.

  • 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

    ELMA365: Not publicly documented.

  • Data volume sensitivity

    B

    ELMA365 doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your ELMA365 to Salesforce Sales Cloud 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 ELMA365 to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during ELMA365 to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between four and eight weeks for single-tenant ELMA365 instances with under 10,000 active records, no complex custom Application schemas, and clear BPM-to-CRM scope decisions. Multi-tenant HUB migrations with five or more subsidiary workspaces, complex custom Application schemas, large project hierarchies (over 20,000 tasks), or extensive process instance histories move to ten to eighteen weeks because of per-tenant extraction overhead, schema reconstruction, and Salesforce Bulk API chunking across large datasets.

Adjacent paths

Related migrations to explore

Ready when you are

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