Salesforce Data Migration That Protects Data Trust at Go-Live

Salesforce data migration can include source-system discovery, data profiling, scope and retention decisions, cleansing, de-duplication, field and object mapping, transformation rules, relationship preservation, test loads, reconciliation, cutover planning and post-migration support. The exact scope depends on the number of sources, data quality, record volumes, historical content, integrations and the target Salesforce data model.

We can migrate accounts, contacts, leads, opportunities, cases, products, price books, campaigns, activities, notes, files, attachments, users, custom objects and other business records where the target model and permissions allow. We can also consolidate data from several CRMs, databases, spreadsheets and operational systems into one Salesforce environment.

Yes. IDS Logic can extract and transform data from legacy CRMs, bespoke databases, spreadsheets, ERP applications and other line-of-business systems. Discovery includes source structures, identifiers, relationships, data ownership, export methods and any limitations that may affect completeness or migration order.

Yes. We can support Salesforce-to-Salesforce migration, business-unit consolidation, sandbox-to-production data movement and the controlled merger of multiple orgs. The plan considers object models, record ownership, external IDs, duplicate strategy, automation, integrations, files, activities and reporting requirements.

We profile source data to identify duplicates, incomplete records, inconsistent formats, invalid values and conflicting definitions. Cleansing rules are agreed with data owners before execution. Matching can use business identifiers, external IDs and carefully defined rules, with exceptions reviewed rather than automatically merged when confidence is insufficient.

Migration order is planned around object dependencies and record relationships. We use stable source identifiers and external-ID strategies where appropriate, then validate parent-child links, ownership, activities and historical records after each load. Some legacy content may require an archive or read-only access approach rather than direct migration.

Validation combines automated record counts, control totals, relationship checks, exception logs, duplicate checks, field-level comparisons, business reports, user acceptance and targeted spot checks. Reconciliation evidence is agreed before cutover so stakeholders know what constitutes a successful migration and which exceptions remain.

Yes. We use rehearsal loads, staged extraction, delta planning and a controlled cutover sequence to reduce interruption. The achievable downtime depends on source-system export options, data volume, business transaction rates, target automation and whether users can continue changing records during the final migration window.

We apply least-privilege access, secure transfer and storage, controlled environments, documented handling procedures and removal of temporary migration data when it is no longer required. Data minimisation, retention, lawful-basis and compliance decisions remain with your organisation and advisers; IDS Logic provides technical controls and evidence to support those decisions.

A focused migration from one clean source may take several weeks, while a multi-system programme with poor data quality, complex relationships, files and several rehearsal cycles can take several months. Cost depends on source count, volume, complexity, cleansing effort, target design, testing, cutover constraints and post-go-live support. We assess these factors before proposing a transparent scope.