CRM migration
Field-level mapping, validation, and rollback between ELMA365 and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
ELMA365
Source
Pipedrive
Destination
Compatibility
7 of 10
objects map 1:1 between ELMA365 and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
ELMA365 is a process-automation platform built around BPM concepts — Projects, Tasks, Workflows, and Process Instances — with a secondary Contacts and Cases module. Pipedrive is a visual sales CRM built around Deals, People, Organizations, and Activity tracking. The two data models diverge significantly: ELMA365 organizes work around workflow processes and task hierarchies; Pipedrive organizes work around pipeline stages and deal ownership. We extract ELMA365 data through API credentials obtained directly from the customer's administrator (ELMA365 has no public developer portal in English), isolate each HUB tenant separately during extraction, and map ELMA365 Projects and Process Instances to Pipedrive Deals and Organizations. RPA robots, BPM workflow definitions, and Custom Applications built in the low-code designer do not migrate — we deliver a written inventory of these artifacts for the customer's admin to rebuild in Pipedrive or elsewhere. Pipedrive's burst rate limits (20-120 requests per 2-second window depending on plan tier) govern write throughput during import, and we handle exponential backoff on 429 responses. Pricing is transparent and per-user at $14-$99 per month annually, replacing ELMA365's opaque direct-quote model.
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.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a ELMA365 object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
ELMA365
Contact
Pipedrive
Person
1:1ELMA365 Contacts map to Pipedrive People. The ELMA365 full name and contact details (email, phone, address) map directly. We extract the owner assignment and set the Pipedrive Person's owner_id via email-match against the destination User table. Any ELMA365 Contact without an email address is flagged during extraction and held in a reconciliation queue for the customer to resolve before import, since Pipedrive requires an email or name to create a Person record.
ELMA365
Company
Pipedrive
Organization
1:1ELMA365 Company records map to Pipedrive Organizations. The company name becomes the Organization name, domain maps to the Website field, and industry or address fields map where ELMA365 has them populated. We create the Organization before any Person import so the Organization ID (org_id) is available as a lookup reference during Person insert. Deduplication is performed on domain and name during the transform phase.
ELMA365
Project
Pipedrive
Deal + Activity
1:manyELMA365 Projects do not have a direct Pipedrive equivalent because Pipedrive is not a project management platform. We map ELMA365 Projects to Pipedrive Deals (one Deal per Project, with the Project name as Deal title and the Project description in the Deal summary field) and create a linked Activity record noting that this Deal originated from an ELMA365 Project. The customer chooses whether to map each Project to a single Deal or to multiple Deals per Project during scoping.
ELMA365
Task
Pipedrive
Activity (Task type)
1:1ELMA365 Tasks map to Pipedrive Activities of type task. Title, description, due date, assignee, and status transfer directly. We resolve the assignee by email match against Pipedrive Users. Status mapping depends on the ELMA365 task lifecycle: open tasks become open Activities, completed tasks become completed Activities with the original completion timestamp preserved in a custom field.
ELMA365
Process Instance
Pipedrive
Deal + Activity history
1:manyELMA365 Process Instances (running or historical workflow executions) have no direct Pipedrive equivalent. We merge process instance data into the nearest corresponding Pipedrive Deal and append an Activity note summarizing the process state, step, and timestamp. If a Process Instance references a Contact or Company, we link the Activity to the matched Pipedrive Person or Organization. This is a scope decision during discovery because the denormalized mapping may not suit all business processes.
ELMA365
Custom Application (Application table)
Pipedrive
Custom fields on Person/Organization/Deal
lossyCustom Applications built in ELMA365's low-code designer store data in customer-defined tables. We reverse-engineer the schema from ELMA365's configuration export, identify which standard object each Application is logically attached to (Person, Organization, or Deal), and map Application fields to Pipedrive custom fields on those objects. Custom field types (text, number, date, picklist) map to their Pipedrive equivalents. This step requires schema extraction that may add one to two weeks of lead time if ELMA365's configuration export is not readily available.
ELMA365
User
Pipedrive
User
1:1ELMA365 Users are exported from the directory with name, email, role, and department. We match each ELMA365 User to a Pipedrive User by email. Users without a matching Pipedrive User are held in a reconciliation queue for the customer's admin to provision before record import begins. Role semantics differ — ELMA365 roles define process-level permissions while Pipedrive roles define CRM access levels — so we map role names to Pipedrive role identifiers and note any gap in the mapping workbook.
ELMA365
Document
Pipedrive
Attachment (File)
1:1Documents attached to ELMA365 Tasks, Projects, or Process Instances are downloaded from the file store and re-uploaded to Pipedrive as Activity attachments. Folder hierarchy from ELMA365 is preserved as a flat Activity note referencing the original ELMA365 folder path. Files larger than 20 MB require chunked upload handling via Pipedrive's multipart file API. We do not migrate document version history beyond the latest version.
ELMA365
Workflow Definition (BPMN process)
Pipedrive
(not migrated — written inventory only)
1:1ELMA365 BPM workflow definitions are JSON configuration artifacts proprietary to ELMA365's automation engine. They do not export to a portable format. We document every workflow definition during discovery — its trigger, steps, transition logic, assignee rules, and SLA timers — and deliver a written inventory recommending how to reproduce each workflow in Pipedrive's Automation section. The customer's admin rebuilds these post-migration.
ELMA365
RPA Robot
Pipedrive
(not migrated — flagged for replacement)
1:1ELMA365 RPA robot configurations are proprietary automation artifacts that cannot be exported and re-imported into Pipedrive. We flag every RPA robot during discovery and document its function (data entry, screen scraping, system integration) with a recommendation for replacement: Pipedrive native Automation, a Zapier/Make integration, or a dedicated RPA platform. This is a scope conversation with the customer before migration begins.
| ELMA365 | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Project | Deal + Activity1:many | Fully supported | |
| Task | Activity (Task type)1:1 | Fully supported | |
| Process Instance | Deal + Activity history1:many | Fully supported | |
| Custom Application (Application table) | Custom fields on Person/Organization/Deallossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Document | Attachment (File)1:1 | Fully supported | |
| Workflow Definition (BPMN process) | (not migrated — written inventory only)1:1 | Fully supported | |
| RPA Robot | (not migrated — flagged for replacement)1:1 | Fully supported |
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.
ELMA365 gotchas
No public API documentation for programmatic extraction
Multi-tenant HUB requires tenant isolation mapping
RPA and workflow automation do not migrate
MS Project XML export loses custom fields and metadata
Russian-language content requires locale handling
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
API access and HUB workspace inventory
We request ELMA365 API credentials directly from the customer's administrator, confirm the endpoint URL and authentication method, and test connectivity before scoping begins. We simultaneously inventory the HUB workspace structure to identify all subsidiary tenants, shared resources, and cross-tenant references. The output is a written discovery report: record counts per object type per tenant, API capability summary, and a preliminary scope document. No data moves until API access is confirmed.
Schema extraction and mapping workbook
We extract the ELMA365 schema including Custom Application table definitions from the configuration export, normalize object names and field types, and build the Pipedrive mapping workbook. This workbook maps every ELMA365 object and field to its Pipedrive equivalent, flags unmapped fields with resolution strategies, and documents any Custom Application that requires a custom field on a standard Pipedrive object. The customer reviews and approves the mapping workbook before extraction begins.
Data extraction and HUB isolation
We extract ELMA365 data via the confirmed API credentials, isolating each HUB tenant workspace separately. Cross-tenant references are tracked in a separate lookup table and resolved during normalization. Documents are downloaded from ELMA365's file store with folder hierarchy preserved as metadata. We run a field-level validation pass against the ELMA365 source to identify missing required fields, invalid email formats, and Cyrillic encoding anomalies before transforming the data for Pipedrive.
Sandbox migration and reconciliation
We run a full migration into a Pipedrive Sandbox using production-like data volume. The customer's team reconciles record counts (People, Organizations, Deals, Activities), spot-checks twenty to thirty random records against the ELMA365 source, and validates that Cyrillic field values display correctly in Pipedrive's interface. The customer approves the Sandbox migration before production cutover begins. Any mapping corrections happen here.
Production migration in dependency order
We run production migration in record-dependency order: Pipedrive Users provisioned (validated by email match), Organizations (from ELMA365 Companies), People (with org_id resolved), Deals (with person_id and org_id resolved and pipeline stage assigned), Custom fields populated from ELMA365 Application data, Activities (tasks, notes), and Documents attached to the relevant Activity or Deal. Each phase emits a row-count reconciliation report. We apply Pipedrive rate-limit headers throughout and throttle writes to 80% of the burst limit to leave headroom for the customer's active integrations.
Cutover, delta sync, and workflow rebuild handoff
We freeze ELMA365 writes during cutover, run a final delta migration of any records created or modified after the freeze point, then enable Pipedrive as the system of record. We deliver the written inventory of every ELMA365 workflow definition and RPA robot to the customer's admin, with Pipedrive Automation rebuild recommendations for each. We support a five-business-day hypercare window for reconciliation issues. We do not rebuild automations or train users inside the migration scope; these are separate engagements.
Platform deep dives
ELMA365
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 ELMA365 and Pipedrive.
Object compatibility
3 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
ELMA365: Not publicly documented.
Data volume sensitivity
ELMA365 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.
Category
FAQ
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