Move Your Data Without Losing What Matters
Moving data between systems, whether during a platform migration, system consolidation, or initial setup, requires careful planning and execution. System Strats manages data migrations that maintain data integrity, preserve relationships, and handle the inevitable edge cases that arise when mapping between different system formats.
A failed data migration can set a project back by months. Missing records, broken relationships, corrupted formats, and lost history turn what should be an upgrade into a crisis. The risk isn't just technical. When your team can't trust the data in the new system, they stop using it. They go back to spreadsheets, workarounds, and the old system they were trying to leave behind. A successful migration isn't just moving data from point A to point B. It's ensuring that every record arrives complete, every relationship is preserved, every edge case is handled, and your team has confidence that the new system is the source of truth from day one.
Your source and target systems use different data models, field names, formats, and conventions. Customer records in one system don't have a clean equivalent in another. Mapping is more art than science.
Your source data has duplicates, missing fields, inconsistent formats, and records that haven't been cleaned up in years. Migrating dirty data just moves the problem to a new system.
Your business can't afford extended downtime for a migration cutover. Orders are still coming in, customers are still calling, and operations can't pause while you move data between platforms.
You have years of historical data and no clear strategy for what to migrate, what to archive, and what to leave behind. Migrating everything is expensive and slow, but you're afraid of losing something important.
We treat every migration as a project with its own discovery, planning, testing, and execution phases. We start by understanding your source data deeply: not just the schema, but the actual data, including its quality issues, edge cases, and business rules that aren't documented anywhere. We build comprehensive mapping documents, develop transformation scripts, and run multiple test migrations before the real cutover. We validate at every stage with record counts, checksum verification, sample auditing, and stakeholder review. No surprises on migration day.
Comprehensive analysis of your source data, including quality profiling, relationship mapping, and detailed field-by-field mapping documents that define exactly how data transforms from source to target.
We clean, deduplicate, and standardize your data before migration so you start fresh in the new system. Address formatting, name normalization, duplicate merging, and field validation ensure quality from day one.
Custom extraction, transformation, and loading scripts tailored to your specific source and target systems. Built for repeatability so you can run test migrations as many times as needed before cutover.
For businesses that can't pause operations, we design incremental migration strategies that move data in stages, sync changes during the transition period, and execute a final cutover with minimal disruption.
Automated validation checks that compare source and target data at every stage. Record counts, field-level verification, relationship integrity checks, and a migration dashboard that shows exactly what moved and what needs attention.
Every migration includes a documented rollback plan so you can reverse course if something unexpected happens during cutover. We plan for the worst case so you never feel trapped in a migration that isn't going well.
We profile your source data, document quality issues, build field mapping specifications, and define the migration strategy including scope, timeline, and rollback procedures.
We develop migration scripts, run test migrations against a staging environment, and iterate on mappings and transformation logic until the output passes validation checks and stakeholder review.
We execute the production migration according to the plan, running real-time validation checks and communicating progress throughout. For incremental migrations, we manage the sync and final cutover window.
We run post-migration reconciliation, verify data integrity in the target system, and provide support during the stabilization period to address any issues that surface once teams start using the new system.
We've migrated data between CRMs, eCommerce platforms, ERPs, helpdesks, and custom databases. We know that the hard part of migration isn't the technical extraction and loading. It's the edge cases: the records that don't map cleanly, the relationships that exist implicitly, the business rules buried in data that nobody documented. We build migration processes that surface these issues during testing, not during cutover. If we can extract data from the source and load it into the target, we can migrate it. The complexity is in the transformation and validation, and that's exactly where our expertise applies.
Tell us about your project and we'll get back to you within 24 hours.