Source Data Profiling
Establishing what the data actually looks like rather than what the schema claims — where the nulls, duplicates and encoded conventions are.
Data Migration
Move data between systems without losing it, corrupting it or stopping the business.
Overview
Data migration is where system replacements quietly fail: the mapping was approximate, the reconciliation was optimistic, and the discrepancy turns up months later. Nextherrion treats it as an engineering exercise with a verifiable result — profile the source, map explicitly, rehearse, reconcile, and keep a route back until the new system has earned trust.
Profiling, mapping, cleansing, rehearsal and reconciliation, with cutover and rollback planned before anything moves.
Mapping & Transformation
Explicit field-level mapping including the awkward cases, so the decisions are recorded rather than made silently inside a script.
Data Cleansing
Fixing what is worth fixing before the move, because migrating bad data faithfully just relocates the problem.
WHAT WE DO
Data Migration Services We Offer
Migration Rehearsal
Full dry runs against production-like volumes, which is how the timing, the failures and the surprises are found in advance.
Reconciliation
Proving the target matches the source — counts, totals and sampled records — so completeness is demonstrated rather than assumed.
Cutover Planning
The sequence, the freeze window, the go/no-go criteria and who decides — agreed before the day rather than during it.
Rollback Planning
A defined route back, kept viable until the new system has run long enough to be trusted.
Historical Data Handling
Deciding what moves, what is archived and what is retired, against retention obligations rather than by moving everything by default.
OUTCOMES
What a Rehearsed Migration Changes
The difference between a calm migration and a bad one is almost entirely rehearsal. Everything that will go wrong on the day is discoverable beforehand.
- Completeness demonstrated, not assumed
- Surprises found in rehearsal
- A cutover window you can predict
- A viable route back
- Quality improved in transit
- Mapping decisions on record
FAQ
Frequently Asked Questions
How long does a migration take?
The cutover is usually hours; the preparation is weeks. Profiling, mapping and rehearsal are where the time goes, and compressing them is where migrations fail.
Will we lose data?
Not if reconciliation is done properly. Counts, totals and sampled records are compared so completeness is proven rather than hoped for.
Should we clean data before or after?
Before, where it is worth cleaning. Migrating bad data faithfully means arriving in the new system with the same problems and a new excuse.
Do we migrate all history?
Often not. Retention obligations and actual usage decide it. Moving everything by default makes migrations longer and the target slower.
What if something goes wrong on the day?
You use the rollback plan. Keeping a route back viable until the new system has proven itself is part of the design.
Can the business keep operating during it?
Usually with a freeze window, and sometimes with parallel running. Which is feasible depends on the systems and is decided during planning.
TECHNOLOGY
Built on Industry Leading Technology
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.
HOW WE DELIVER
Migration Process
- 01Source Profiling
- 02Mapping & Rules Definition
- 03Cleansing
- 04Rehearsal Migration
- 05Reconciliation
- 06Cutover
- 07Post-Migration Verification
Replacing a system and worried about the data?
Start with profiling. What the data actually looks like determines everything else.