Data migration
Bring forward the records your operation can trust
Migration should preserve useful history without importing years of duplicates and ambiguity into a new platform.
We profile available source data, agree what belongs in VMOTEK, map identifiers and relationships, test a representative sample, document exceptions and reconcile the final import. The source system remains the reference until acceptance.
Planning detail
Decisions to make before the work begins
Common source records
Agree which operating records will be usable on day one and which history remains archived.
- Customers, contacts, vehicles and fleet relationships
- Inventory items, vendors and vendor catalogs
- Open work, balances and selected service history
CSV preparation
Use VMOTEK templates and preserve source identifiers so rejected rows can be corrected safely.
- Download the object-specific template
- Map and normalize fields without changing the source export
- Review accepted, rejected and duplicate rows
Business validation
Record counts alone do not prove that relationships and operational meaning survived.
- Open sample customers and vehicles
- Search migrated items and supplier references
- Confirm location ownership, balances and document links
How it works
A controlled path from decision to daily use
- 01
Inventory sources
Identify systems, files, owners, fields, volumes and export constraints.
- 02
Profile quality
Measure missing identifiers, duplicates, inconsistent values and broken relationships.
- 03
Map and transform
Agree field mappings, normalization rules and records that will remain archived.
- 04
Test a sample
Import representative customers, assets, history and inventory so users can verify meaning.
- 05
Reconcile
Compare counts, balances, relationships and exception reports against agreed controls.
- 06
Cut over
Freeze the source at the agreed point, run the final load and obtain business acceptance.
What to expect
Clear ownership and practical safeguards
Defined scope
Not every historical field deserves a place in the operating system.
- Included objects and date ranges
- Archive and retention decisions
- Known source limitations
Traceable exceptions
Questionable data is surfaced for decision instead of silently changed.
- Duplicate and rejected records
- Transformation rules
- Business-owner sign-off
Measurable acceptance
Completion is based on agreed checks, not simply a successful import job.
- Record-count reconciliation
- Relationship spot checks
- Operational scenario testing
Ready to move forward?
Scope your migration before choosing a date
Share sample exports and the history your team truly needs. We will identify risks before they reach go-live.