Solutions Crm Migrations

CRM migrations with clean mapping associations and controlled cutover

Move CRM data safely with mapping validation association integrity and governed change management.

Workflow Engine
Lead Deal Quote Order Invoice Payment Reconciliation Renewal
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All systems
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12 workflows
Audit trail
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One workflow engine. One audit trail. One source of truth.
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CRM migrations with clean mapping, associations, and controlled cutover

CRM migrations fail when teams treat them as a simple export/import. Real migrations must preserve custom fields, associations, ownership, and the operational meaning of stages. Sanka helps you run CRM migrations as a governed process with validation and traceability.

Field mapping

Map standard and custom fields to stable properties so downstream workflows do not break after cutover.

Associations

Preserve relationships (company, contacts, deals, custom objects) so teams keep context and history.

Controlled cutover

Dry-run, validate, reconcile, then cut over with clear ownership and an audit-ready checklist.

What to migrate (beyond records)

  • Core objects (companies, contacts, deals) and custom objects
  • Custom fields and field types
  • Pipelines and lifecycle stages (and what they mean operationally)
  • Associations and labels (how records relate in both directions)
  • Ownership and permissions assumptions
Migration layer What can go wrong What to standardize
Fields Missing required data, wrong types Mapping, defaults, validation rules
Associations Orphaned records, broken context Association mapping and reconciliation
Stages Forecast and handoffs break Stage definitions and triggers
Dedupe Duplicates explode Matching keys and review workflows
[DRY RUN] Import sample accounts and deals
-> Validate required fields and types
-> Reconcile association counts
[OK] Cutover checklist complete
-> Run full import and lock legacy edits

Make the migration defensible

Governance reduces rework and prevents a second migration six months later.

Validation

Define required fields and checks so imported records are operationally usable.

Audit trail

Keep traceability of mapping decisions, exceptions, and final reconciliation outputs.

Cutover discipline

Run a controlled freeze window and communicate ownership across sales, ops, and IT.

Get started

  1. Scope: list objects, custom fields, and associations to migrate.
  2. Map + validate: define field types, required fields, and defaults.
  3. Dry-run: import a representative sample and reconcile counts and links.
  4. Cut over: freeze edits, run the final migration, then monitor and fix exceptions.

Helpful docs:

Frequently asked questions

How do you handle custom objects and custom fields?
Treat custom objects and fields as first-class scope items. Define mapping, validation, and ownership up front so workflows and reporting remain stable after cutover.
How do you prevent duplicates?
Define matching keys and dedupe rules before importing. Use review workflows for ambiguous matches rather than auto-merging everything.
How long does a migration take?
It depends on data volume, customizations, and association complexity. A first dry-run often surfaces the real work. Start with a scoped pilot and expand iteratively.
Do we need downtime?
Most migrations require a controlled freeze window for high-risk edits. The goal is a predictable cutover, not an all-hands fire drill.