Data migration

Move business data with mapping, validation, and evidence

A migration is successful when the new system receives understandable, reconciled data and users know what moved, what changed, and what remains archived.

The challenge

What creates friction today

Data projects fail when teams copy tables without defining meaning, ownership, duplicates, reference relationships, historical scope, validation, and acceptable differences.

The solution

Simor Soft treats migration as a controlled business process with source assessment, mapping, transformation, rehearsal, reconciliation, acceptance, cutover, and retained evidence

Capabilities

What the solution can connect

Scope is selected around the business outcome and can expand in controlled releases.

  • Source profiling and quality assessment
  • Field, identifier, and relationship mapping
  • Cleaning, normalization, and transformation
  • Repeatable migration scripts and rehearsals
  • Control totals and reconciliation reports
  • Cutover, rollback, archive, and support planning
Delivery

How the workflow comes together

Profile the source, agree on target meaning and scope, build transformations, run rehearsals, compare counts and values, resolve exceptions, obtain user acceptance, and execute a controlled production cutover.

Outcome

Fewer surprises at launch

Outcome

Traceable mapping decisions

Outcome

More reliable opening balances and records

Outcome

A repeatable and reviewable migration

Fit and customization

Software designed around the organization

Migration depth, history, cleansing, attachments, balances, audit retention, and cutover approach are determined by operational and regulatory needs.

Requirements, security, data, test scenarios, user acceptance, deployment, documentation, and support remain part of the delivery—not afterthoughts.

Simor Soft

Move from a software gap to a practical delivery plan