CRM migration
Field-level mapping, validation, and rollback between Opera 3 and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Opera 3
Source
Pipedrive
Destination
Compatibility
7 of 10
objects map 1:1 between Opera 3 and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Pegasus Opera 3 to Pipedrive means collapsing a modular UK mid-market ERP's Sales Ledger contacts and CRM module into a dedicated sales CRM. Opera 3's built-in CRM stores contacts and companies in flat tables with activity notes as unstructured text, while Pipedrive maintains a relational model with People linked to Organizations and Activities tied to both deal and person records. The migration is constrained by Opera 3's lack of a public API: we export via CSV from the Sales Ledger, run the database health checker to surface orphaned or invalid records, and transform the flat export into Pipedrive's typed People and Organization schema. Deal history maps to Pipedrive's deal stage pipeline, and historical activity notes convert to structured Activities. Workflows, automations, and the built-in CRM module's configuration do not migrate; we deliver a written inventory of what requires manual rebuild in Pipedrive.
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 Opera 3 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.
Opera 3
Sales Ledger Contact (CRM Contact)
Pipedrive
Person
1:1Opera 3's Sales Ledger stores customer accounts with billing address, payment terms, credit limits, and multi-currency flags. The CRM module's contact records attach to these accounts. We map Sales Ledger account_name to Pipedrive Person name, primary email from the contact's email field, phone from the telephone field, and the billing address to the Person's address fields. Where a Sales Ledger account has multiple named contacts, each becomes a separate Person record linked to the same Organization.
Opera 3
Sales Ledger Account
Pipedrive
Organization
1:1Opera 3's Sales Ledger account header maps to Pipedrive Organization. The account code becomes the Organization's Pipedrive ID or a custom external_id field. We preserve payment terms, credit limit, and default currency from the Sales Ledger header as custom fields in Pipedrive because the standard Organization object does not carry these ERP-specific fields natively. Multi-currency accounts require a currency field on the Organization record.
Opera 3
Purchase Ledger Contact
Pipedrive
Person (vendor contact)
1:1Opera 3's Purchase Ledger supplier contacts export separately from the Sales Ledger. We map these to Pipedrive Person records tagged with a vendor segment label via a custom field. Supplier contacts do not naturally belong in a sales CRM, but teams that want a unified contact record in Pipedrive for both customer and supplier relationships import them with a type flag.
Opera 3
CRM Activity Note (text)
Pipedrive
Activity (Note or Task)
lossyOpera 3's CRM module stores activities as text notes against a contact or company record with a date stamp and an owner reference. These are flat text blobs without type, duration, or participant fields. We parse the note text, detect keywords (call, meeting, email, visit) to assign an Activity type in Pipedrive, and preserve the original note body as an Activity note. Type detection is a best-effort configuration; unstructured notes that cannot be typed migrate as general Task activities.
Opera 3
Sales Order / Quote
Pipedrive
Deal
1:1Opera 3 Sales Order headers with line items map to Pipedrive Deals. The order total becomes the Deal value, the order date becomes the expected close date, and the order status (pending, confirmed, dispatched, invoiced) maps to a Pipedrive stage or a custom status field. Closed Won maps to invoiced orders; Closed Lost maps to cancelled orders. We preserve the line-item product descriptions as Deal notes or a custom product list field since Pipedrive Deals do not natively carry line-item structures without additional configuration.
Opera 3
Invoice / Credit Note
Pipedrive
Activity (linked to Deal)
1:1Opera 3 Sales Invoice headers and line items migrate as Activity records (a completed-task note) linked to the corresponding Deal in Pipedrive. The invoice number becomes the Activity subject, the invoice total becomes a custom field on the Activity record, and the line items are preserved as a formatted note block. Credit notes migrate as Activities with a negative amount in the custom invoice total field. We do not create Pipedrive Invoice objects because Pipedrive does not have a native invoicing feature; customers use third-party integrations like FreshBooks or QuickBooks for document generation.
Opera 3
Stock Item (standard)
Pipedrive
Product
1:1Opera 3 standard stock codes export with stock code, description, unit price, and bin location. We map these to Pipedrive Products (Product2 records) where the Sales Ledger orders include product references. Stock items without an associated Sales Order do not migrate unless the customer explicitly requests a product catalog setup in Pipedrive. Customer-specific product variants from the OPUS add-on require additional mapping: we join the OPUS export on base stock code plus customer account reference and create a separate price-list entry per variant.
Opera 3
Employee
Pipedrive
User
1:1Opera 3 Employee records export via CSV with name, email, start date, and department. We match employees by email against Pipedrive User accounts. Active sales employees who will use Pipedrive must have a User provisioned before migration; back-office employees who will not use Pipedrive are optionally imported as Person records or excluded from the migration scope. The customer defines the cut-off during scoping.
Opera 3
Custom Properties / User-Defined Fields
Pipedrive
Custom Fields (People, Organizations, Deals)
lossyOpera 3 custom fields added via the OPUS add-on or bespoke Visual FoxPro schema modifications are not standardized and vary by installation. We do not automatically migrate bespoke custom fields. We audit the source schema during discovery, identify which OPUS fields map to standard Pipedrive fields or custom fields on People, Organizations, and Deals, and document the gap. Unmapped bespoke fields are listed in the migration inventory for the customer's admin to review and recreate manually in Pipedrive's field editor.
Opera 3
Multi-Company Structure
Pipedrive
Organization (multi-org mapping)
lossyOpera 3's multi-company support stores separate company codes with inter-company debtor and creditor balances. When migrating to Pipedrive, which is a single-tenant CRM without native multi-company structures, we map each Opera 3 company code to a separate Organization record tagged with a company_code custom field. Inter-company balances are preserved as a separate reconciliation document listing the balance, the counterparty company code, and the currency, so the customer's finance team can re-establish inter-company matching in the destination accounting system separately.
| Opera 3 | Pipedrive | Compatibility | |
|---|---|---|---|
| Sales Ledger Contact (CRM Contact) | Person1:1 | Fully supported | |
| Sales Ledger Account | Organization1:1 | Fully supported | |
| Purchase Ledger Contact | Person (vendor contact)1:1 | Fully supported | |
| CRM Activity Note (text) | Activity (Note or Task)lossy | Fully supported | |
| Sales Order / Quote | Deal1:1 | Fully supported | |
| Invoice / Credit Note | Activity (linked to Deal)1:1 | Fully supported | |
| Stock Item (standard) | Product1:1 | Fully supported | |
| Employee | User1:1 | Fully supported | |
| Custom Properties / User-Defined Fields | Custom Fields (People, Organizations, Deals)lossy | Fully supported | |
| Multi-Company Structure | Organization (multi-org mapping)lossy | 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.
Opera 3 gotchas
Visual FoxPro to SQL SE migration is mandatory and non-reversible
RTI FPS/EPS payroll files use cryptic renamed filenames after HMRC submission
Customer Products add-on stores customer-specific stock variants outside the main item schema
No public API — data export relies on CSV, XML RTI files, or bespoke WCF
Multi-company inter-company balances require cross-reference mapping
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
Discovery and export method scoping
We audit the source Opera 3 installation: edition (Visual FoxPro or SQL SE), module set in scope (Sales Ledger, Purchase Ledger, CRM, Stock), export method availability, and the presence of OPUS add-on custom schemas. We run the SQL SE health checker on Visual FoxPro sources to surface orphaned records and validation failures before committing to a migration path. We identify multi-company structures, inter-company balances, and multi-currency account codes. The discovery output is a written migration scope document specifying export method (CSV export, direct SQL read, or hybrid), record counts per object, and any known data quality gaps that require pre-migration cleanup.
Data extraction and health validation
We extract Sales Ledger contacts, account headers, order history, invoice records, and CRM activity notes via CSV exports or direct SQL Server reads. We run reconciliation checks: total invoice header amounts against the sum of line items, contact email address completeness, and cross-reference validation for inter-company transactions. Any records failing validation are flagged in a pre-migration issues log and presented to the customer for correction before extraction proceeds. We extract OPUS add-on variant data as a separate CSV and join it to the main stock export using base stock code and customer account reference.
Schema design and field mapping
We design the Pipedrive target schema: People fields (name, email, phone, address, custom fields), Organization fields (company name, address, payment terms, credit limit), Deal fields (title, value, stage, expected close date, custom fields), and Activity configuration (type mapping from parsed note text). We configure Pipedrive pipeline stages to reflect the customer's order lifecycle (quote, confirmed, dispatched, invoiced, closed won, closed lost). We create custom fields on People, Organizations, and Deals for Opera 3-specific data (payment terms, currency code, account code) that has no Pipedrive native equivalent. Custom fields are deployed to Pipedrive via the API before any record import.
Staging migration and reconciliation
We run a full migration into a Pipedrive staging environment using production data volume. The customer's sales operations lead reconciles record counts (People imported, Organizations imported, Deals migrated, Activities created), spot-checks 25-50 records against the Opera 3 source, and validates that activity note text was preserved and correctly typed. Pipeline stage assignments are verified against the original order statuses. Any mapping corrections, missing custom fields, or data quality issues surfaced by the staging run are resolved before the production migration begins. This step typically takes three to five business days.
Production migration in dependency order
We run production migration in record-dependency order: Organizations first (since People link to them), then People (with OrganizationId resolved), then Deals (with Person and Organization lookups resolved), then Activities (linked to the correct Person and Deal records by email match and deal identifier). Each phase emits a row-count reconciliation report. We preserve original timestamps on Activities by setting ActivityDate to the Opera 3 note date. For multi-company structures, each company code becomes a separate Organization record with a company_code custom field tag. Delta records modified during the migration window are migrated in a final catch-up pass before cutover.
Cutover, validation, and automation rebuild handoff
We freeze Opera 3 writes during cutover and run a final delta migration of any records modified during the migration window. We validate record counts against the staging baseline and confirm that all activity note text is present in Pipedrive. We deliver a written inventory of Opera 3 CRM workflows, CRM configurations, and inter-company balance records that require manual rebuild or re-establishment in Pipedrive. We support a one-week hypercare window where we resolve any data issues raised by the customer's sales team. We do not rebuild Opera 3 CRM module configurations as Pipedrive automations; that is a separate engagement for the customer's admin.
Platform deep dives
Opera 3
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 Opera 3 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
Opera 3: Not publicly documented — no published API means no documented rate limits.
Data volume sensitivity
Opera 3 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
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FAQ
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